{ "architectures": [ "Qwen3_5MoeForConditionalGeneration" ], "dtype": "bfloat16", "image_token_id": 248056, "model_type": "qwen3_5_moe", "quantization_config": { "config_groups": { "group_0": { "format": "float-quantized", "input_activations": { "actorder": null, "block_structure": null, "dynamic": true, "group_size": 128, "num_bits": 8, "observer": null, "observer_kwargs": {}, "scale_dtype": null, "strategy": "group", "symmetric": true, "type": "float", "zp_dtype": null }, "output_activations": null, "targets": [ "re:.*self_attn.q_proj.*", "re:.*self_attn.k_proj.*", "re:.*self_attn.v_proj.*", "re:.*self_attn.o_proj.*", "re:.*linear_attn.in_proj_qkv.*", "re:.*linear_attn.in_proj_z.*", "re:.*linear_attn.out_proj.*", "re:.*shared_expert.gate_proj.*", "re:.*shared_expert.up_proj.*", "re:.*shared_expert.down_proj.*" ], "weights": { "actorder": null, "block_structure": [ 128, 128 ], "dynamic": false, "group_size": null, "num_bits": 8, "observer": "memoryless_minmax", "observer_kwargs": {}, "scale_dtype": null, "strategy": "block", "symmetric": true, "type": "float", "zp_dtype": null } }, "group_1": { "format": "nvfp4-pack-quantized", "input_activations": null, "output_activations": null, "targets": [ "re:.*mlp.experts.*gate_proj.*", "re:.*mlp.experts.*up_proj.*", "re:.*mlp.experts.*down_proj.*" ], "weights": { "actorder": null, "block_structure": null, "dynamic": false, "group_size": 16, "num_bits": 4, "observer": "memoryless_minmax", "observer_kwargs": {}, "scale_dtype": "torch.float8_e4m3fn", "strategy": "tensor_group", "symmetric": true, "type": "float", "zp_dtype": null } } }, "format": "mixed-precision", "global_compression_ratio": null, "ignore": [ "model.visual.blocks.0.attn.qkv", "model.visual.blocks.0.attn.proj", "model.visual.blocks.0.mlp.linear_fc1", "model.visual.blocks.0.mlp.linear_fc2", "model.visual.blocks.1.attn.qkv", "model.visual.blocks.1.attn.proj", "model.visual.blocks.1.mlp.linear_fc1", "model.visual.blocks.1.mlp.linear_fc2", "model.visual.blocks.2.attn.qkv", "model.visual.blocks.2.attn.proj", "model.visual.blocks.2.mlp.linear_fc1", "model.visual.blocks.2.mlp.linear_fc2", "model.visual.blocks.3.attn.qkv", "model.visual.blocks.3.attn.proj", "model.visual.blocks.3.mlp.linear_fc1", "model.visual.blocks.3.mlp.linear_fc2", "model.visual.blocks.4.attn.qkv", "model.visual.blocks.4.attn.proj", "model.visual.blocks.4.mlp.linear_fc1", "model.visual.blocks.4.mlp.linear_fc2", "model.visual.blocks.5.attn.qkv", "model.visual.blocks.5.attn.proj", "model.visual.blocks.5.mlp.linear_fc1", "model.visual.blocks.5.mlp.linear_fc2", "model.visual.blocks.6.attn.qkv", "model.visual.blocks.6.attn.proj", "model.visual.blocks.6.mlp.linear_fc1", "model.visual.blocks.6.mlp.linear_fc2", "model.visual.blocks.7.attn.qkv", "model.visual.blocks.7.attn.proj", "model.visual.blocks.7.mlp.linear_fc1", "model.visual.blocks.7.mlp.linear_fc2", "model.visual.blocks.8.attn.qkv", "model.visual.blocks.8.attn.proj", "model.visual.blocks.8.mlp.linear_fc1", "model.visual.blocks.8.mlp.linear_fc2", "model.visual.blocks.9.attn.qkv", "model.visual.blocks.9.attn.proj", "model.visual.blocks.9.mlp.linear_fc1", "model.visual.blocks.9.mlp.linear_fc2", "model.visual.blocks.10.attn.qkv", "model.visual.blocks.10.attn.proj", "model.visual.blocks.10.mlp.linear_fc1", "model.visual.blocks.10.mlp.linear_fc2", "model.visual.blocks.11.attn.qkv", "model.visual.blocks.11.attn.proj", "model.visual.blocks.11.mlp.linear_fc1", "model.visual.blocks.11.mlp.linear_fc2", "model.visual.blocks.12.attn.qkv", "model.visual.blocks.12.attn.proj", "model.visual.blocks.12.mlp.linear_fc1", "model.visual.blocks.12.mlp.linear_fc2", "model.visual.blocks.13.attn.qkv", "model.visual.blocks.13.attn.proj", "model.visual.blocks.13.mlp.linear_fc1", "model.visual.blocks.13.mlp.linear_fc2", "model.visual.blocks.14.attn.qkv", "model.visual.blocks.14.attn.proj", "model.visual.blocks.14.mlp.linear_fc1", "model.visual.blocks.14.mlp.linear_fc2", "model.visual.blocks.15.attn.qkv", "model.visual.blocks.15.attn.proj", "model.visual.blocks.15.mlp.linear_fc1", "model.visual.blocks.15.mlp.linear_fc2", "model.visual.blocks.16.attn.qkv", "model.visual.blocks.16.attn.proj", "model.visual.blocks.16.mlp.linear_fc1", "model.visual.blocks.16.mlp.linear_fc2", "model.visual.blocks.17.attn.qkv", "model.visual.blocks.17.attn.proj", "model.visual.blocks.17.mlp.linear_fc1", "model.visual.blocks.17.mlp.linear_fc2", "model.visual.blocks.18.attn.qkv", "model.visual.blocks.18.attn.proj", "model.visual.blocks.18.mlp.linear_fc1", "model.visual.blocks.18.mlp.linear_fc2", "model.visual.blocks.19.attn.qkv", "model.visual.blocks.19.attn.proj", "model.visual.blocks.19.mlp.linear_fc1", "model.visual.blocks.19.mlp.linear_fc2", "model.visual.blocks.20.attn.qkv", "model.visual.blocks.20.attn.proj", "model.visual.blocks.20.mlp.linear_fc1", "model.visual.blocks.20.mlp.linear_fc2", "model.visual.blocks.21.attn.qkv", "model.visual.blocks.21.attn.proj", "model.visual.blocks.21.mlp.linear_fc1", "model.visual.blocks.21.mlp.linear_fc2", "model.visual.blocks.22.attn.qkv", "model.visual.blocks.22.attn.proj", "model.visual.blocks.22.mlp.linear_fc1", "model.visual.blocks.22.mlp.linear_fc2", "model.visual.blocks.23.attn.qkv", "model.visual.blocks.23.attn.proj", "model.visual.blocks.23.mlp.linear_fc1", "model.visual.blocks.23.mlp.linear_fc2", "model.visual.blocks.24.attn.qkv", "model.visual.blocks.24.attn.proj", "model.visual.blocks.24.mlp.linear_fc1", "model.visual.blocks.24.mlp.linear_fc2", "model.visual.blocks.25.attn.qkv", "model.visual.blocks.25.attn.proj", "model.visual.blocks.25.mlp.linear_fc1", "model.visual.blocks.25.mlp.linear_fc2", "model.visual.blocks.26.attn.qkv", "model.visual.blocks.26.attn.proj", "model.visual.blocks.26.mlp.linear_fc1", "model.visual.blocks.26.mlp.linear_fc2", "model.visual.merger.linear_fc1", "model.visual.merger.linear_fc2", "model.language_model.layers.0.linear_attn", "model.language_model.layers.0.linear_attn.norm", "model.language_model.layers.0.linear_attn.in_proj_b", "model.language_model.layers.0.linear_attn.in_proj_a", "model.language_model.layers.0.mlp.gate", "model.language_model.layers.0.mlp.experts.0", "model.language_model.layers.0.mlp.experts.1", "model.language_model.layers.0.mlp.experts.2", "model.language_model.layers.0.mlp.experts.3", "model.language_model.layers.0.mlp.experts.4", "model.language_model.layers.0.mlp.experts.5", "model.language_model.layers.0.mlp.experts.6", "model.language_model.layers.0.mlp.experts.7", "model.language_model.layers.0.mlp.experts.8", "model.language_model.layers.0.mlp.experts.9", "model.language_model.layers.0.mlp.experts.10", "model.language_model.layers.0.mlp.experts.11", "model.language_model.layers.0.mlp.experts.12", "model.language_model.layers.0.mlp.experts.13", "model.language_model.layers.0.mlp.experts.14", "model.language_model.layers.0.mlp.experts.15", "model.language_model.layers.0.mlp.experts.16", "model.language_model.layers.0.mlp.experts.17", "model.language_model.layers.0.mlp.experts.18", "model.language_model.layers.0.mlp.experts.19", "model.language_model.layers.0.mlp.experts.20", "model.language_model.layers.0.mlp.experts.21", "model.language_model.layers.0.mlp.experts.22", "model.language_model.layers.0.mlp.experts.23", "model.language_model.layers.0.mlp.experts.24", "model.language_model.layers.0.mlp.experts.25", "model.language_model.layers.0.mlp.experts.26", "model.language_model.layers.0.mlp.experts.27", "model.language_model.layers.0.mlp.experts.28", "model.language_model.layers.0.mlp.experts.29", "model.language_model.layers.0.mlp.experts.30", "model.language_model.layers.0.mlp.experts.31", "model.language_model.layers.0.mlp.experts.32", "model.language_model.layers.0.mlp.experts.33", "model.language_model.layers.0.mlp.experts.34", "model.language_model.layers.0.mlp.experts.35", "model.language_model.layers.0.mlp.experts.36", "model.language_model.layers.0.mlp.experts.37", "model.language_model.layers.0.mlp.experts.38", "model.language_model.layers.0.mlp.experts.39", "model.language_model.layers.0.mlp.experts.40", "model.language_model.layers.0.mlp.experts.41", "model.language_model.layers.0.mlp.experts.42", "model.language_model.layers.0.mlp.experts.43", "model.language_model.layers.0.mlp.experts.44", "model.language_model.layers.0.mlp.experts.45", "model.language_model.layers.0.mlp.experts.46", "model.language_model.layers.0.mlp.experts.47", "model.language_model.layers.0.mlp.experts.48", "model.language_model.layers.0.mlp.experts.49", "model.language_model.layers.0.mlp.experts.50", "model.language_model.layers.0.mlp.experts.51", "model.language_model.layers.0.mlp.experts.52", "model.language_model.layers.0.mlp.experts.53", "model.language_model.layers.0.mlp.experts.54", "model.language_model.layers.0.mlp.experts.55", "model.language_model.layers.0.mlp.experts.56", "model.language_model.layers.0.mlp.experts.57", "model.language_model.layers.0.mlp.experts.58", "model.language_model.layers.0.mlp.experts.59", "model.language_model.layers.0.mlp.experts.60", "model.language_model.layers.0.mlp.experts.61", "model.language_model.layers.0.mlp.experts.62", "model.language_model.layers.0.mlp.experts.63", "model.language_model.layers.0.mlp.experts.64", "model.language_model.layers.0.mlp.experts.65", "model.language_model.layers.0.mlp.experts.66", "model.language_model.layers.0.mlp.experts.67", "model.language_model.layers.0.mlp.experts.68", "model.language_model.layers.0.mlp.experts.69", "model.language_model.layers.0.mlp.experts.70", "model.language_model.layers.0.mlp.experts.71", "model.language_model.layers.0.mlp.experts.72", "model.language_model.layers.0.mlp.experts.73", "model.language_model.layers.0.mlp.experts.74", "model.language_model.layers.0.mlp.experts.75", "model.language_model.layers.0.mlp.experts.76", "model.language_model.layers.0.mlp.experts.77", "model.language_model.layers.0.mlp.experts.78", "model.language_model.layers.0.mlp.experts.79", "model.language_model.layers.0.mlp.experts.80", "model.language_model.layers.0.mlp.experts.81", "model.language_model.layers.0.mlp.experts.82", "model.language_model.layers.0.mlp.experts.83", "model.language_model.layers.0.mlp.experts.84", "model.language_model.layers.0.mlp.experts.85", "model.language_model.layers.0.mlp.experts.86", "model.language_model.layers.0.mlp.experts.87", "model.language_model.layers.0.mlp.experts.88", "model.language_model.layers.0.mlp.experts.89", "model.language_model.layers.0.mlp.experts.90", "model.language_model.layers.0.mlp.experts.91", "model.language_model.layers.0.mlp.experts.92", "model.language_model.layers.0.mlp.experts.93", "model.language_model.layers.0.mlp.experts.94", "model.language_model.layers.0.mlp.experts.95", "model.language_model.layers.0.mlp.experts.96", "model.language_model.layers.0.mlp.experts.97", "model.language_model.layers.0.mlp.experts.98", "model.language_model.layers.0.mlp.experts.99", "model.language_model.layers.0.mlp.experts.100", "model.language_model.layers.0.mlp.experts.101", "model.language_model.layers.0.mlp.experts.102", "model.language_model.layers.0.mlp.experts.103", "model.language_model.layers.0.mlp.experts.104", "model.language_model.layers.0.mlp.experts.105", "model.language_model.layers.0.mlp.experts.106", "model.language_model.layers.0.mlp.experts.107", "model.language_model.layers.0.mlp.experts.108", "model.language_model.layers.0.mlp.experts.109", "model.language_model.layers.0.mlp.experts.110", "model.language_model.layers.0.mlp.experts.111", "model.language_model.layers.0.mlp.experts.112", "model.language_model.layers.0.mlp.experts.113", "model.language_model.layers.0.mlp.experts.114", "model.language_model.layers.0.mlp.experts.115", "model.language_model.layers.0.mlp.experts.116", "model.language_model.layers.0.mlp.experts.117", "model.language_model.layers.0.mlp.experts.118", "model.language_model.layers.0.mlp.experts.119", "model.language_model.layers.0.mlp.experts.120", "model.language_model.layers.0.mlp.experts.121", "model.language_model.layers.0.mlp.experts.122", "model.language_model.layers.0.mlp.experts.123", "model.language_model.layers.0.mlp.experts.124", "model.language_model.layers.0.mlp.experts.125", "model.language_model.layers.0.mlp.experts.126", "model.language_model.layers.0.mlp.experts.127", "model.language_model.layers.0.mlp.experts.128", "model.language_model.layers.0.mlp.experts.129", "model.language_model.layers.0.mlp.experts.130", "model.language_model.layers.0.mlp.experts.131", "model.language_model.layers.0.mlp.experts.132", "model.language_model.layers.0.mlp.experts.133", "model.language_model.layers.0.mlp.experts.134", "model.language_model.layers.0.mlp.experts.135", "model.language_model.layers.0.mlp.experts.136", "model.language_model.layers.0.mlp.experts.137", "model.language_model.layers.0.mlp.experts.138", "model.language_model.layers.0.mlp.experts.139", "model.language_model.layers.0.mlp.experts.140", "model.language_model.layers.0.mlp.experts.141", "model.language_model.layers.0.mlp.experts.142", "model.language_model.layers.0.mlp.experts.143", "model.language_model.layers.0.mlp.experts.144", "model.language_model.layers.0.mlp.experts.145", "model.language_model.layers.0.mlp.experts.146", "model.language_model.layers.0.mlp.experts.147", "model.language_model.layers.0.mlp.experts.148", "model.language_model.layers.0.mlp.experts.149", "model.language_model.layers.0.mlp.experts.150", "model.language_model.layers.0.mlp.experts.151", "model.language_model.layers.0.mlp.experts.152", "model.language_model.layers.0.mlp.experts.153", "model.language_model.layers.0.mlp.experts.154", "model.language_model.layers.0.mlp.experts.155", "model.language_model.layers.0.mlp.experts.156", "model.language_model.layers.0.mlp.experts.157", "model.language_model.layers.0.mlp.experts.158", "model.language_model.layers.0.mlp.experts.159", "model.language_model.layers.0.mlp.experts.160", "model.language_model.layers.0.mlp.experts.161", "model.language_model.layers.0.mlp.experts.162", "model.language_model.layers.0.mlp.experts.163", "model.language_model.layers.0.mlp.experts.164", "model.language_model.layers.0.mlp.experts.165", "model.language_model.layers.0.mlp.experts.166", "model.language_model.layers.0.mlp.experts.167", "model.language_model.layers.0.mlp.experts.168", "model.language_model.layers.0.mlp.experts.169", "model.language_model.layers.0.mlp.experts.170", "model.language_model.layers.0.mlp.experts.171", "model.language_model.layers.0.mlp.experts.172", "model.language_model.layers.0.mlp.experts.173", "model.language_model.layers.0.mlp.experts.174", "model.language_model.layers.0.mlp.experts.175", "model.language_model.layers.0.mlp.experts.176", "model.language_model.layers.0.mlp.experts.177", "model.language_model.layers.0.mlp.experts.178", "model.language_model.layers.0.mlp.experts.179", "model.language_model.layers.0.mlp.experts.180", "model.language_model.layers.0.mlp.experts.181", "model.language_model.layers.0.mlp.experts.182", "model.language_model.layers.0.mlp.experts.183", "model.language_model.layers.0.mlp.experts.184", "model.language_model.layers.0.mlp.experts.185", "model.language_model.layers.0.mlp.experts.186", "model.language_model.layers.0.mlp.experts.187", "model.language_model.layers.0.mlp.experts.188", "model.language_model.layers.0.mlp.experts.189", "model.language_model.layers.0.mlp.experts.190", "model.language_model.layers.0.mlp.experts.191", "model.language_model.layers.0.mlp.experts.192", "model.language_model.layers.0.mlp.experts.193", "model.language_model.layers.0.mlp.experts.194", "model.language_model.layers.0.mlp.experts.195", "model.language_model.layers.0.mlp.experts.196", "model.language_model.layers.0.mlp.experts.197", "model.language_model.layers.0.mlp.experts.198", "model.language_model.layers.0.mlp.experts.199", "model.language_model.layers.0.mlp.experts.200", "model.language_model.layers.0.mlp.experts.201", "model.language_model.layers.0.mlp.experts.202", "model.language_model.layers.0.mlp.experts.203", "model.language_model.layers.0.mlp.experts.204", "model.language_model.layers.0.mlp.experts.205", "model.language_model.layers.0.mlp.experts.206", "model.language_model.layers.0.mlp.experts.207", "model.language_model.layers.0.mlp.experts.208", "model.language_model.layers.0.mlp.experts.209", "model.language_model.layers.0.mlp.experts.210", "model.language_model.layers.0.mlp.experts.211", "model.language_model.layers.0.mlp.experts.212", "model.language_model.layers.0.mlp.experts.213", "model.language_model.layers.0.mlp.experts.214", "model.language_model.layers.0.mlp.experts.215", "model.language_model.layers.0.mlp.experts.216", "model.language_model.layers.0.mlp.experts.217", "model.language_model.layers.0.mlp.experts.218", "model.language_model.layers.0.mlp.experts.219", "model.language_model.layers.0.mlp.experts.220", "model.language_model.layers.0.mlp.experts.221", "model.language_model.layers.0.mlp.experts.222", "model.language_model.layers.0.mlp.experts.223", "model.language_model.layers.0.mlp.experts.224", "model.language_model.layers.0.mlp.experts.225", "model.language_model.layers.0.mlp.experts.226", "model.language_model.layers.0.mlp.experts.227", "model.language_model.layers.0.mlp.experts.228", "model.language_model.layers.0.mlp.experts.229", "model.language_model.layers.0.mlp.experts.230", "model.language_model.layers.0.mlp.experts.231", "model.language_model.layers.0.mlp.experts.232", "model.language_model.layers.0.mlp.experts.233", "model.language_model.layers.0.mlp.experts.234", "model.language_model.layers.0.mlp.experts.235", "model.language_model.layers.0.mlp.experts.236", "model.language_model.layers.0.mlp.experts.237", "model.language_model.layers.0.mlp.experts.238", "model.language_model.layers.0.mlp.experts.239", "model.language_model.layers.0.mlp.experts.240", "model.language_model.layers.0.mlp.experts.241", "model.language_model.layers.0.mlp.experts.242", "model.language_model.layers.0.mlp.experts.243", "model.language_model.layers.0.mlp.experts.244", "model.language_model.layers.0.mlp.experts.245", "model.language_model.layers.0.mlp.experts.246", "model.language_model.layers.0.mlp.experts.247", "model.language_model.layers.0.mlp.experts.248", "model.language_model.layers.0.mlp.experts.249", "model.language_model.layers.0.mlp.experts.250", "model.language_model.layers.0.mlp.experts.251", "model.language_model.layers.0.mlp.experts.252", "model.language_model.layers.0.mlp.experts.253", "model.language_model.layers.0.mlp.experts.254", "model.language_model.layers.0.mlp.experts.255", "model.language_model.layers.0.mlp.shared_expert_gate", "model.language_model.layers.1.linear_attn", "model.language_model.layers.1.linear_attn.norm", "model.language_model.layers.1.linear_attn.in_proj_b", "model.language_model.layers.1.linear_attn.in_proj_a", "model.language_model.layers.1.mlp.gate", "model.language_model.layers.1.mlp.experts.0", "model.language_model.layers.1.mlp.experts.1", "model.language_model.layers.1.mlp.experts.2", "model.language_model.layers.1.mlp.experts.3", "model.language_model.layers.1.mlp.experts.4", "model.language_model.layers.1.mlp.experts.5", "model.language_model.layers.1.mlp.experts.6", "model.language_model.layers.1.mlp.experts.7", "model.language_model.layers.1.mlp.experts.8", "model.language_model.layers.1.mlp.experts.9", "model.language_model.layers.1.mlp.experts.10", "model.language_model.layers.1.mlp.experts.11", "model.language_model.layers.1.mlp.experts.12", "model.language_model.layers.1.mlp.experts.13", "model.language_model.layers.1.mlp.experts.14", "model.language_model.layers.1.mlp.experts.15", "model.language_model.layers.1.mlp.experts.16", "model.language_model.layers.1.mlp.experts.17", "model.language_model.layers.1.mlp.experts.18", "model.language_model.layers.1.mlp.experts.19", "model.language_model.layers.1.mlp.experts.20", "model.language_model.layers.1.mlp.experts.21", "model.language_model.layers.1.mlp.experts.22", "model.language_model.layers.1.mlp.experts.23", "model.language_model.layers.1.mlp.experts.24", "model.language_model.layers.1.mlp.experts.25", "model.language_model.layers.1.mlp.experts.26", "model.language_model.layers.1.mlp.experts.27", "model.language_model.layers.1.mlp.experts.28", "model.language_model.layers.1.mlp.experts.29", "model.language_model.layers.1.mlp.experts.30", "model.language_model.layers.1.mlp.experts.31", "model.language_model.layers.1.mlp.experts.32", "model.language_model.layers.1.mlp.experts.33", "model.language_model.layers.1.mlp.experts.34", "model.language_model.layers.1.mlp.experts.35", "model.language_model.layers.1.mlp.experts.36", "model.language_model.layers.1.mlp.experts.37", "model.language_model.layers.1.mlp.experts.38", "model.language_model.layers.1.mlp.experts.39", "model.language_model.layers.1.mlp.experts.40", "model.language_model.layers.1.mlp.experts.41", "model.language_model.layers.1.mlp.experts.42", "model.language_model.layers.1.mlp.experts.43", "model.language_model.layers.1.mlp.experts.44", "model.language_model.layers.1.mlp.experts.45", "model.language_model.layers.1.mlp.experts.46", "model.language_model.layers.1.mlp.experts.47", "model.language_model.layers.1.mlp.experts.48", "model.language_model.layers.1.mlp.experts.49", "model.language_model.layers.1.mlp.experts.50", "model.language_model.layers.1.mlp.experts.51", "model.language_model.layers.1.mlp.experts.52", "model.language_model.layers.1.mlp.experts.53", "model.language_model.layers.1.mlp.experts.54", "model.language_model.layers.1.mlp.experts.55", "model.language_model.layers.1.mlp.experts.56", "model.language_model.layers.1.mlp.experts.57", "model.language_model.layers.1.mlp.experts.58", "model.language_model.layers.1.mlp.experts.59", "model.language_model.layers.1.mlp.experts.60", "model.language_model.layers.1.mlp.experts.61", "model.language_model.layers.1.mlp.experts.62", "model.language_model.layers.1.mlp.experts.63", "model.language_model.layers.1.mlp.experts.64", "model.language_model.layers.1.mlp.experts.65", "model.language_model.layers.1.mlp.experts.66", "model.language_model.layers.1.mlp.experts.67", "model.language_model.layers.1.mlp.experts.68", "model.language_model.layers.1.mlp.experts.69", "model.language_model.layers.1.mlp.experts.70", "model.language_model.layers.1.mlp.experts.71", "model.language_model.layers.1.mlp.experts.72", "model.language_model.layers.1.mlp.experts.73", "model.language_model.layers.1.mlp.experts.74", "model.language_model.layers.1.mlp.experts.75", "model.language_model.layers.1.mlp.experts.76", "model.language_model.layers.1.mlp.experts.77", "model.language_model.layers.1.mlp.experts.78", "model.language_model.layers.1.mlp.experts.79", "model.language_model.layers.1.mlp.experts.80", "model.language_model.layers.1.mlp.experts.81", "model.language_model.layers.1.mlp.experts.82", "model.language_model.layers.1.mlp.experts.83", "model.language_model.layers.1.mlp.experts.84", "model.language_model.layers.1.mlp.experts.85", "model.language_model.layers.1.mlp.experts.86", "model.language_model.layers.1.mlp.experts.87", "model.language_model.layers.1.mlp.experts.88", "model.language_model.layers.1.mlp.experts.89", "model.language_model.layers.1.mlp.experts.90", "model.language_model.layers.1.mlp.experts.91", "model.language_model.layers.1.mlp.experts.92", "model.language_model.layers.1.mlp.experts.93", "model.language_model.layers.1.mlp.experts.94", "model.language_model.layers.1.mlp.experts.95", "model.language_model.layers.1.mlp.experts.96", "model.language_model.layers.1.mlp.experts.97", "model.language_model.layers.1.mlp.experts.98", "model.language_model.layers.1.mlp.experts.99", "model.language_model.layers.1.mlp.experts.100", "model.language_model.layers.1.mlp.experts.101", "model.language_model.layers.1.mlp.experts.102", "model.language_model.layers.1.mlp.experts.103", "model.language_model.layers.1.mlp.experts.104", "model.language_model.layers.1.mlp.experts.105", "model.language_model.layers.1.mlp.experts.106", "model.language_model.layers.1.mlp.experts.107", "model.language_model.layers.1.mlp.experts.108", "model.language_model.layers.1.mlp.experts.109", "model.language_model.layers.1.mlp.experts.110", "model.language_model.layers.1.mlp.experts.111", "model.language_model.layers.1.mlp.experts.112", "model.language_model.layers.1.mlp.experts.113", "model.language_model.layers.1.mlp.experts.114", "model.language_model.layers.1.mlp.experts.115", "model.language_model.layers.1.mlp.experts.116", "model.language_model.layers.1.mlp.experts.117", "model.language_model.layers.1.mlp.experts.118", "model.language_model.layers.1.mlp.experts.119", "model.language_model.layers.1.mlp.experts.120", "model.language_model.layers.1.mlp.experts.121", "model.language_model.layers.1.mlp.experts.122", "model.language_model.layers.1.mlp.experts.123", "model.language_model.layers.1.mlp.experts.124", "model.language_model.layers.1.mlp.experts.125", "model.language_model.layers.1.mlp.experts.126", "model.language_model.layers.1.mlp.experts.127", "model.language_model.layers.1.mlp.experts.128", "model.language_model.layers.1.mlp.experts.129", "model.language_model.layers.1.mlp.experts.130", "model.language_model.layers.1.mlp.experts.131", "model.language_model.layers.1.mlp.experts.132", "model.language_model.layers.1.mlp.experts.133", "model.language_model.layers.1.mlp.experts.134", "model.language_model.layers.1.mlp.experts.135", "model.language_model.layers.1.mlp.experts.136", "model.language_model.layers.1.mlp.experts.137", "model.language_model.layers.1.mlp.experts.138", "model.language_model.layers.1.mlp.experts.139", "model.language_model.layers.1.mlp.experts.140", "model.language_model.layers.1.mlp.experts.141", "model.language_model.layers.1.mlp.experts.142", "model.language_model.layers.1.mlp.experts.143", "model.language_model.layers.1.mlp.experts.144", "model.language_model.layers.1.mlp.experts.145", "model.language_model.layers.1.mlp.experts.146", "model.language_model.layers.1.mlp.experts.147", "model.language_model.layers.1.mlp.experts.148", "model.language_model.layers.1.mlp.experts.149", "model.language_model.layers.1.mlp.experts.150", "model.language_model.layers.1.mlp.experts.151", "model.language_model.layers.1.mlp.experts.152", "model.language_model.layers.1.mlp.experts.153", "model.language_model.layers.1.mlp.experts.154", "model.language_model.layers.1.mlp.experts.155", "model.language_model.layers.1.mlp.experts.156", "model.language_model.layers.1.mlp.experts.157", "model.language_model.layers.1.mlp.experts.158", "model.language_model.layers.1.mlp.experts.159", "model.language_model.layers.1.mlp.experts.160", "model.language_model.layers.1.mlp.experts.161", "model.language_model.layers.1.mlp.experts.162", "model.language_model.layers.1.mlp.experts.163", "model.language_model.layers.1.mlp.experts.164", "model.language_model.layers.1.mlp.experts.165", "model.language_model.layers.1.mlp.experts.166", "model.language_model.layers.1.mlp.experts.167", "model.language_model.layers.1.mlp.experts.168", "model.language_model.layers.1.mlp.experts.169", "model.language_model.layers.1.mlp.experts.170", "model.language_model.layers.1.mlp.experts.171", "model.language_model.layers.1.mlp.experts.172", "model.language_model.layers.1.mlp.experts.173", "model.language_model.layers.1.mlp.experts.174", "model.language_model.layers.1.mlp.experts.175", "model.language_model.layers.1.mlp.experts.176", "model.language_model.layers.1.mlp.experts.177", "model.language_model.layers.1.mlp.experts.178", "model.language_model.layers.1.mlp.experts.179", "model.language_model.layers.1.mlp.experts.180", "model.language_model.layers.1.mlp.experts.181", "model.language_model.layers.1.mlp.experts.182", "model.language_model.layers.1.mlp.experts.183", "model.language_model.layers.1.mlp.experts.184", "model.language_model.layers.1.mlp.experts.185", "model.language_model.layers.1.mlp.experts.186", "model.language_model.layers.1.mlp.experts.187", "model.language_model.layers.1.mlp.experts.188", "model.language_model.layers.1.mlp.experts.189", "model.language_model.layers.1.mlp.experts.190", "model.language_model.layers.1.mlp.experts.191", "model.language_model.layers.1.mlp.experts.192", "model.language_model.layers.1.mlp.experts.193", "model.language_model.layers.1.mlp.experts.194", "model.language_model.layers.1.mlp.experts.195", "model.language_model.layers.1.mlp.experts.196", "model.language_model.layers.1.mlp.experts.197", "model.language_model.layers.1.mlp.experts.198", "model.language_model.layers.1.mlp.experts.199", "model.language_model.layers.1.mlp.experts.200", "model.language_model.layers.1.mlp.experts.201", "model.language_model.layers.1.mlp.experts.202", "model.language_model.layers.1.mlp.experts.203", "model.language_model.layers.1.mlp.experts.204", "model.language_model.layers.1.mlp.experts.205", "model.language_model.layers.1.mlp.experts.206", "model.language_model.layers.1.mlp.experts.207", "model.language_model.layers.1.mlp.experts.208", "model.language_model.layers.1.mlp.experts.209", "model.language_model.layers.1.mlp.experts.210", "model.language_model.layers.1.mlp.experts.211", "model.language_model.layers.1.mlp.experts.212", "model.language_model.layers.1.mlp.experts.213", "model.language_model.layers.1.mlp.experts.214", "model.language_model.layers.1.mlp.experts.215", "model.language_model.layers.1.mlp.experts.216", "model.language_model.layers.1.mlp.experts.217", "model.language_model.layers.1.mlp.experts.218", "model.language_model.layers.1.mlp.experts.219", "model.language_model.layers.1.mlp.experts.220", "model.language_model.layers.1.mlp.experts.221", "model.language_model.layers.1.mlp.experts.222", "model.language_model.layers.1.mlp.experts.223", "model.language_model.layers.1.mlp.experts.224", "model.language_model.layers.1.mlp.experts.225", "model.language_model.layers.1.mlp.experts.226", "model.language_model.layers.1.mlp.experts.227", "model.language_model.layers.1.mlp.experts.228", "model.language_model.layers.1.mlp.experts.229", "model.language_model.layers.1.mlp.experts.230", "model.language_model.layers.1.mlp.experts.231", "model.language_model.layers.1.mlp.experts.232", "model.language_model.layers.1.mlp.experts.233", "model.language_model.layers.1.mlp.experts.234", "model.language_model.layers.1.mlp.experts.235", "model.language_model.layers.1.mlp.experts.236", "model.language_model.layers.1.mlp.experts.237", "model.language_model.layers.1.mlp.experts.238", "model.language_model.layers.1.mlp.experts.239", "model.language_model.layers.1.mlp.experts.240", "model.language_model.layers.1.mlp.experts.241", "model.language_model.layers.1.mlp.experts.242", "model.language_model.layers.1.mlp.experts.243", "model.language_model.layers.1.mlp.experts.244", "model.language_model.layers.1.mlp.experts.245", "model.language_model.layers.1.mlp.experts.246", "model.language_model.layers.1.mlp.experts.247", "model.language_model.layers.1.mlp.experts.248", "model.language_model.layers.1.mlp.experts.249", "model.language_model.layers.1.mlp.experts.250", "model.language_model.layers.1.mlp.experts.251", "model.language_model.layers.1.mlp.experts.252", "model.language_model.layers.1.mlp.experts.253", "model.language_model.layers.1.mlp.experts.254", "model.language_model.layers.1.mlp.experts.255", "model.language_model.layers.1.mlp.shared_expert_gate", "model.language_model.layers.2.linear_attn", "model.language_model.layers.2.linear_attn.norm", "model.language_model.layers.2.linear_attn.in_proj_b", "model.language_model.layers.2.linear_attn.in_proj_a", "model.language_model.layers.2.mlp.gate", "model.language_model.layers.2.mlp.experts.0", "model.language_model.layers.2.mlp.experts.1", "model.language_model.layers.2.mlp.experts.2", "model.language_model.layers.2.mlp.experts.3", "model.language_model.layers.2.mlp.experts.4", "model.language_model.layers.2.mlp.experts.5", "model.language_model.layers.2.mlp.experts.6", "model.language_model.layers.2.mlp.experts.7", "model.language_model.layers.2.mlp.experts.8", "model.language_model.layers.2.mlp.experts.9", "model.language_model.layers.2.mlp.experts.10", "model.language_model.layers.2.mlp.experts.11", "model.language_model.layers.2.mlp.experts.12", "model.language_model.layers.2.mlp.experts.13", "model.language_model.layers.2.mlp.experts.14", "model.language_model.layers.2.mlp.experts.15", "model.language_model.layers.2.mlp.experts.16", "model.language_model.layers.2.mlp.experts.17", "model.language_model.layers.2.mlp.experts.18", "model.language_model.layers.2.mlp.experts.19", "model.language_model.layers.2.mlp.experts.20", "model.language_model.layers.2.mlp.experts.21", "model.language_model.layers.2.mlp.experts.22", "model.language_model.layers.2.mlp.experts.23", "model.language_model.layers.2.mlp.experts.24", "model.language_model.layers.2.mlp.experts.25", "model.language_model.layers.2.mlp.experts.26", "model.language_model.layers.2.mlp.experts.27", "model.language_model.layers.2.mlp.experts.28", "model.language_model.layers.2.mlp.experts.29", "model.language_model.layers.2.mlp.experts.30", "model.language_model.layers.2.mlp.experts.31", "model.language_model.layers.2.mlp.experts.32", "model.language_model.layers.2.mlp.experts.33", "model.language_model.layers.2.mlp.experts.34", "model.language_model.layers.2.mlp.experts.35", "model.language_model.layers.2.mlp.experts.36", "model.language_model.layers.2.mlp.experts.37", "model.language_model.layers.2.mlp.experts.38", "model.language_model.layers.2.mlp.experts.39", "model.language_model.layers.2.mlp.experts.40", "model.language_model.layers.2.mlp.experts.41", "model.language_model.layers.2.mlp.experts.42", "model.language_model.layers.2.mlp.experts.43", "model.language_model.layers.2.mlp.experts.44", "model.language_model.layers.2.mlp.experts.45", "model.language_model.layers.2.mlp.experts.46", "model.language_model.layers.2.mlp.experts.47", "model.language_model.layers.2.mlp.experts.48", "model.language_model.layers.2.mlp.experts.49", "model.language_model.layers.2.mlp.experts.50", "model.language_model.layers.2.mlp.experts.51", "model.language_model.layers.2.mlp.experts.52", "model.language_model.layers.2.mlp.experts.53", "model.language_model.layers.2.mlp.experts.54", "model.language_model.layers.2.mlp.experts.55", "model.language_model.layers.2.mlp.experts.56", "model.language_model.layers.2.mlp.experts.57", "model.language_model.layers.2.mlp.experts.58", "model.language_model.layers.2.mlp.experts.59", "model.language_model.layers.2.mlp.experts.60", "model.language_model.layers.2.mlp.experts.61", "model.language_model.layers.2.mlp.experts.62", "model.language_model.layers.2.mlp.experts.63", "model.language_model.layers.2.mlp.experts.64", "model.language_model.layers.2.mlp.experts.65", "model.language_model.layers.2.mlp.experts.66", "model.language_model.layers.2.mlp.experts.67", "model.language_model.layers.2.mlp.experts.68", "model.language_model.layers.2.mlp.experts.69", "model.language_model.layers.2.mlp.experts.70", "model.language_model.layers.2.mlp.experts.71", "model.language_model.layers.2.mlp.experts.72", "model.language_model.layers.2.mlp.experts.73", "model.language_model.layers.2.mlp.experts.74", "model.language_model.layers.2.mlp.experts.75", "model.language_model.layers.2.mlp.experts.76", "model.language_model.layers.2.mlp.experts.77", "model.language_model.layers.2.mlp.experts.78", "model.language_model.layers.2.mlp.experts.79", "model.language_model.layers.2.mlp.experts.80", "model.language_model.layers.2.mlp.experts.81", "model.language_model.layers.2.mlp.experts.82", "model.language_model.layers.2.mlp.experts.83", "model.language_model.layers.2.mlp.experts.84", "model.language_model.layers.2.mlp.experts.85", "model.language_model.layers.2.mlp.experts.86", "model.language_model.layers.2.mlp.experts.87", "model.language_model.layers.2.mlp.experts.88", "model.language_model.layers.2.mlp.experts.89", "model.language_model.layers.2.mlp.experts.90", "model.language_model.layers.2.mlp.experts.91", "model.language_model.layers.2.mlp.experts.92", "model.language_model.layers.2.mlp.experts.93", "model.language_model.layers.2.mlp.experts.94", "model.language_model.layers.2.mlp.experts.95", "model.language_model.layers.2.mlp.experts.96", "model.language_model.layers.2.mlp.experts.97", "model.language_model.layers.2.mlp.experts.98", "model.language_model.layers.2.mlp.experts.99", "model.language_model.layers.2.mlp.experts.100", "model.language_model.layers.2.mlp.experts.101", "model.language_model.layers.2.mlp.experts.102", "model.language_model.layers.2.mlp.experts.103", "model.language_model.layers.2.mlp.experts.104", "model.language_model.layers.2.mlp.experts.105", "model.language_model.layers.2.mlp.experts.106", "model.language_model.layers.2.mlp.experts.107", "model.language_model.layers.2.mlp.experts.108", "model.language_model.layers.2.mlp.experts.109", "model.language_model.layers.2.mlp.experts.110", "model.language_model.layers.2.mlp.experts.111", "model.language_model.layers.2.mlp.experts.112", "model.language_model.layers.2.mlp.experts.113", "model.language_model.layers.2.mlp.experts.114", "model.language_model.layers.2.mlp.experts.115", "model.language_model.layers.2.mlp.experts.116", "model.language_model.layers.2.mlp.experts.117", "model.language_model.layers.2.mlp.experts.118", "model.language_model.layers.2.mlp.experts.119", "model.language_model.layers.2.mlp.experts.120", "model.language_model.layers.2.mlp.experts.121", "model.language_model.layers.2.mlp.experts.122", "model.language_model.layers.2.mlp.experts.123", "model.language_model.layers.2.mlp.experts.124", "model.language_model.layers.2.mlp.experts.125", "model.language_model.layers.2.mlp.experts.126", "model.language_model.layers.2.mlp.experts.127", "model.language_model.layers.2.mlp.experts.128", "model.language_model.layers.2.mlp.experts.129", "model.language_model.layers.2.mlp.experts.130", "model.language_model.layers.2.mlp.experts.131", "model.language_model.layers.2.mlp.experts.132", "model.language_model.layers.2.mlp.experts.133", "model.language_model.layers.2.mlp.experts.134", "model.language_model.layers.2.mlp.experts.135", "model.language_model.layers.2.mlp.experts.136", "model.language_model.layers.2.mlp.experts.137", "model.language_model.layers.2.mlp.experts.138", "model.language_model.layers.2.mlp.experts.139", "model.language_model.layers.2.mlp.experts.140", "model.language_model.layers.2.mlp.experts.141", "model.language_model.layers.2.mlp.experts.142", "model.language_model.layers.2.mlp.experts.143", "model.language_model.layers.2.mlp.experts.144", "model.language_model.layers.2.mlp.experts.145", "model.language_model.layers.2.mlp.experts.146", "model.language_model.layers.2.mlp.experts.147", "model.language_model.layers.2.mlp.experts.148", "model.language_model.layers.2.mlp.experts.149", "model.language_model.layers.2.mlp.experts.150", "model.language_model.layers.2.mlp.experts.151", "model.language_model.layers.2.mlp.experts.152", "model.language_model.layers.2.mlp.experts.153", "model.language_model.layers.2.mlp.experts.154", "model.language_model.layers.2.mlp.experts.155", "model.language_model.layers.2.mlp.experts.156", "model.language_model.layers.2.mlp.experts.157", "model.language_model.layers.2.mlp.experts.158", "model.language_model.layers.2.mlp.experts.159", "model.language_model.layers.2.mlp.experts.160", "model.language_model.layers.2.mlp.experts.161", "model.language_model.layers.2.mlp.experts.162", "model.language_model.layers.2.mlp.experts.163", "model.language_model.layers.2.mlp.experts.164", "model.language_model.layers.2.mlp.experts.165", "model.language_model.layers.2.mlp.experts.166", "model.language_model.layers.2.mlp.experts.167", "model.language_model.layers.2.mlp.experts.168", "model.language_model.layers.2.mlp.experts.169", "model.language_model.layers.2.mlp.experts.170", "model.language_model.layers.2.mlp.experts.171", "model.language_model.layers.2.mlp.experts.172", "model.language_model.layers.2.mlp.experts.173", "model.language_model.layers.2.mlp.experts.174", "model.language_model.layers.2.mlp.experts.175", "model.language_model.layers.2.mlp.experts.176", "model.language_model.layers.2.mlp.experts.177", "model.language_model.layers.2.mlp.experts.178", "model.language_model.layers.2.mlp.experts.179", "model.language_model.layers.2.mlp.experts.180", "model.language_model.layers.2.mlp.experts.181", "model.language_model.layers.2.mlp.experts.182", "model.language_model.layers.2.mlp.experts.183", "model.language_model.layers.2.mlp.experts.184", "model.language_model.layers.2.mlp.experts.185", "model.language_model.layers.2.mlp.experts.186", "model.language_model.layers.2.mlp.experts.187", "model.language_model.layers.2.mlp.experts.188", "model.language_model.layers.2.mlp.experts.189", "model.language_model.layers.2.mlp.experts.190", "model.language_model.layers.2.mlp.experts.191", "model.language_model.layers.2.mlp.experts.192", "model.language_model.layers.2.mlp.experts.193", "model.language_model.layers.2.mlp.experts.194", "model.language_model.layers.2.mlp.experts.195", "model.language_model.layers.2.mlp.experts.196", "model.language_model.layers.2.mlp.experts.197", "model.language_model.layers.2.mlp.experts.198", "model.language_model.layers.2.mlp.experts.199", "model.language_model.layers.2.mlp.experts.200", "model.language_model.layers.2.mlp.experts.201", "model.language_model.layers.2.mlp.experts.202", "model.language_model.layers.2.mlp.experts.203", "model.language_model.layers.2.mlp.experts.204", "model.language_model.layers.2.mlp.experts.205", "model.language_model.layers.2.mlp.experts.206", "model.language_model.layers.2.mlp.experts.207", "model.language_model.layers.2.mlp.experts.208", "model.language_model.layers.2.mlp.experts.209", "model.language_model.layers.2.mlp.experts.210", "model.language_model.layers.2.mlp.experts.211", "model.language_model.layers.2.mlp.experts.212", "model.language_model.layers.2.mlp.experts.213", "model.language_model.layers.2.mlp.experts.214", "model.language_model.layers.2.mlp.experts.215", "model.language_model.layers.2.mlp.experts.216", "model.language_model.layers.2.mlp.experts.217", "model.language_model.layers.2.mlp.experts.218", "model.language_model.layers.2.mlp.experts.219", "model.language_model.layers.2.mlp.experts.220", "model.language_model.layers.2.mlp.experts.221", "model.language_model.layers.2.mlp.experts.222", "model.language_model.layers.2.mlp.experts.223", "model.language_model.layers.2.mlp.experts.224", "model.language_model.layers.2.mlp.experts.225", "model.language_model.layers.2.mlp.experts.226", "model.language_model.layers.2.mlp.experts.227", "model.language_model.layers.2.mlp.experts.228", "model.language_model.layers.2.mlp.experts.229", "model.language_model.layers.2.mlp.experts.230", "model.language_model.layers.2.mlp.experts.231", "model.language_model.layers.2.mlp.experts.232", "model.language_model.layers.2.mlp.experts.233", "model.language_model.layers.2.mlp.experts.234", "model.language_model.layers.2.mlp.experts.235", "model.language_model.layers.2.mlp.experts.236", "model.language_model.layers.2.mlp.experts.237", "model.language_model.layers.2.mlp.experts.238", "model.language_model.layers.2.mlp.experts.239", "model.language_model.layers.2.mlp.experts.240", "model.language_model.layers.2.mlp.experts.241", "model.language_model.layers.2.mlp.experts.242", "model.language_model.layers.2.mlp.experts.243", "model.language_model.layers.2.mlp.experts.244", "model.language_model.layers.2.mlp.experts.245", "model.language_model.layers.2.mlp.experts.246", "model.language_model.layers.2.mlp.experts.247", "model.language_model.layers.2.mlp.experts.248", "model.language_model.layers.2.mlp.experts.249", "model.language_model.layers.2.mlp.experts.250", "model.language_model.layers.2.mlp.experts.251", "model.language_model.layers.2.mlp.experts.252", "model.language_model.layers.2.mlp.experts.253", "model.language_model.layers.2.mlp.experts.254", "model.language_model.layers.2.mlp.experts.255", "model.language_model.layers.2.mlp.shared_expert_gate", "model.language_model.layers.3.mlp.gate", "model.language_model.layers.3.mlp.experts.0", "model.language_model.layers.3.mlp.experts.1", "model.language_model.layers.3.mlp.experts.2", "model.language_model.layers.3.mlp.experts.3", "model.language_model.layers.3.mlp.experts.4", "model.language_model.layers.3.mlp.experts.5", "model.language_model.layers.3.mlp.experts.6", "model.language_model.layers.3.mlp.experts.7", "model.language_model.layers.3.mlp.experts.8", "model.language_model.layers.3.mlp.experts.9", "model.language_model.layers.3.mlp.experts.10", "model.language_model.layers.3.mlp.experts.11", "model.language_model.layers.3.mlp.experts.12", "model.language_model.layers.3.mlp.experts.13", "model.language_model.layers.3.mlp.experts.14", "model.language_model.layers.3.mlp.experts.15", "model.language_model.layers.3.mlp.experts.16", "model.language_model.layers.3.mlp.experts.17", "model.language_model.layers.3.mlp.experts.18", "model.language_model.layers.3.mlp.experts.19", "model.language_model.layers.3.mlp.experts.20", "model.language_model.layers.3.mlp.experts.21", "model.language_model.layers.3.mlp.experts.22", "model.language_model.layers.3.mlp.experts.23", "model.language_model.layers.3.mlp.experts.24", "model.language_model.layers.3.mlp.experts.25", "model.language_model.layers.3.mlp.experts.26", "model.language_model.layers.3.mlp.experts.27", "model.language_model.layers.3.mlp.experts.28", "model.language_model.layers.3.mlp.experts.29", "model.language_model.layers.3.mlp.experts.30", "model.language_model.layers.3.mlp.experts.31", "model.language_model.layers.3.mlp.experts.32", "model.language_model.layers.3.mlp.experts.33", "model.language_model.layers.3.mlp.experts.34", "model.language_model.layers.3.mlp.experts.35", "model.language_model.layers.3.mlp.experts.36", "model.language_model.layers.3.mlp.experts.37", "model.language_model.layers.3.mlp.experts.38", "model.language_model.layers.3.mlp.experts.39", "model.language_model.layers.3.mlp.experts.40", "model.language_model.layers.3.mlp.experts.41", "model.language_model.layers.3.mlp.experts.42", "model.language_model.layers.3.mlp.experts.43", "model.language_model.layers.3.mlp.experts.44", "model.language_model.layers.3.mlp.experts.45", "model.language_model.layers.3.mlp.experts.46", "model.language_model.layers.3.mlp.experts.47", "model.language_model.layers.3.mlp.experts.48", "model.language_model.layers.3.mlp.experts.49", "model.language_model.layers.3.mlp.experts.50", "model.language_model.layers.3.mlp.experts.51", "model.language_model.layers.3.mlp.experts.52", "model.language_model.layers.3.mlp.experts.53", "model.language_model.layers.3.mlp.experts.54", "model.language_model.layers.3.mlp.experts.55", "model.language_model.layers.3.mlp.experts.56", "model.language_model.layers.3.mlp.experts.57", "model.language_model.layers.3.mlp.experts.58", "model.language_model.layers.3.mlp.experts.59", "model.language_model.layers.3.mlp.experts.60", "model.language_model.layers.3.mlp.experts.61", "model.language_model.layers.3.mlp.experts.62", "model.language_model.layers.3.mlp.experts.63", "model.language_model.layers.3.mlp.experts.64", "model.language_model.layers.3.mlp.experts.65", "model.language_model.layers.3.mlp.experts.66", "model.language_model.layers.3.mlp.experts.67", "model.language_model.layers.3.mlp.experts.68", "model.language_model.layers.3.mlp.experts.69", "model.language_model.layers.3.mlp.experts.70", "model.language_model.layers.3.mlp.experts.71", "model.language_model.layers.3.mlp.experts.72", "model.language_model.layers.3.mlp.experts.73", "model.language_model.layers.3.mlp.experts.74", "model.language_model.layers.3.mlp.experts.75", "model.language_model.layers.3.mlp.experts.76", "model.language_model.layers.3.mlp.experts.77", "model.language_model.layers.3.mlp.experts.78", "model.language_model.layers.3.mlp.experts.79", "model.language_model.layers.3.mlp.experts.80", "model.language_model.layers.3.mlp.experts.81", "model.language_model.layers.3.mlp.experts.82", "model.language_model.layers.3.mlp.experts.83", "model.language_model.layers.3.mlp.experts.84", "model.language_model.layers.3.mlp.experts.85", "model.language_model.layers.3.mlp.experts.86", "model.language_model.layers.3.mlp.experts.87", "model.language_model.layers.3.mlp.experts.88", "model.language_model.layers.3.mlp.experts.89", "model.language_model.layers.3.mlp.experts.90", "model.language_model.layers.3.mlp.experts.91", "model.language_model.layers.3.mlp.experts.92", "model.language_model.layers.3.mlp.experts.93", "model.language_model.layers.3.mlp.experts.94", "model.language_model.layers.3.mlp.experts.95", "model.language_model.layers.3.mlp.experts.96", "model.language_model.layers.3.mlp.experts.97", "model.language_model.layers.3.mlp.experts.98", "model.language_model.layers.3.mlp.experts.99", "model.language_model.layers.3.mlp.experts.100", "model.language_model.layers.3.mlp.experts.101", "model.language_model.layers.3.mlp.experts.102", "model.language_model.layers.3.mlp.experts.103", "model.language_model.layers.3.mlp.experts.104", "model.language_model.layers.3.mlp.experts.105", "model.language_model.layers.3.mlp.experts.106", "model.language_model.layers.3.mlp.experts.107", "model.language_model.layers.3.mlp.experts.108", "model.language_model.layers.3.mlp.experts.109", "model.language_model.layers.3.mlp.experts.110", "model.language_model.layers.3.mlp.experts.111", "model.language_model.layers.3.mlp.experts.112", "model.language_model.layers.3.mlp.experts.113", "model.language_model.layers.3.mlp.experts.114", "model.language_model.layers.3.mlp.experts.115", "model.language_model.layers.3.mlp.experts.116", "model.language_model.layers.3.mlp.experts.117", "model.language_model.layers.3.mlp.experts.118", "model.language_model.layers.3.mlp.experts.119", "model.language_model.layers.3.mlp.experts.120", "model.language_model.layers.3.mlp.experts.121", "model.language_model.layers.3.mlp.experts.122", "model.language_model.layers.3.mlp.experts.123", "model.language_model.layers.3.mlp.experts.124", "model.language_model.layers.3.mlp.experts.125", "model.language_model.layers.3.mlp.experts.126", "model.language_model.layers.3.mlp.experts.127", "model.language_model.layers.3.mlp.experts.128", "model.language_model.layers.3.mlp.experts.129", "model.language_model.layers.3.mlp.experts.130", "model.language_model.layers.3.mlp.experts.131", "model.language_model.layers.3.mlp.experts.132", "model.language_model.layers.3.mlp.experts.133", "model.language_model.layers.3.mlp.experts.134", "model.language_model.layers.3.mlp.experts.135", "model.language_model.layers.3.mlp.experts.136", "model.language_model.layers.3.mlp.experts.137", "model.language_model.layers.3.mlp.experts.138", "model.language_model.layers.3.mlp.experts.139", "model.language_model.layers.3.mlp.experts.140", "model.language_model.layers.3.mlp.experts.141", "model.language_model.layers.3.mlp.experts.142", "model.language_model.layers.3.mlp.experts.143", "model.language_model.layers.3.mlp.experts.144", "model.language_model.layers.3.mlp.experts.145", "model.language_model.layers.3.mlp.experts.146", "model.language_model.layers.3.mlp.experts.147", "model.language_model.layers.3.mlp.experts.148", "model.language_model.layers.3.mlp.experts.149", "model.language_model.layers.3.mlp.experts.150", "model.language_model.layers.3.mlp.experts.151", "model.language_model.layers.3.mlp.experts.152", "model.language_model.layers.3.mlp.experts.153", "model.language_model.layers.3.mlp.experts.154", "model.language_model.layers.3.mlp.experts.155", "model.language_model.layers.3.mlp.experts.156", "model.language_model.layers.3.mlp.experts.157", "model.language_model.layers.3.mlp.experts.158", "model.language_model.layers.3.mlp.experts.159", "model.language_model.layers.3.mlp.experts.160", "model.language_model.layers.3.mlp.experts.161", "model.language_model.layers.3.mlp.experts.162", "model.language_model.layers.3.mlp.experts.163", "model.language_model.layers.3.mlp.experts.164", "model.language_model.layers.3.mlp.experts.165", "model.language_model.layers.3.mlp.experts.166", "model.language_model.layers.3.mlp.experts.167", "model.language_model.layers.3.mlp.experts.168", "model.language_model.layers.3.mlp.experts.169", "model.language_model.layers.3.mlp.experts.170", "model.language_model.layers.3.mlp.experts.171", "model.language_model.layers.3.mlp.experts.172", "model.language_model.layers.3.mlp.experts.173", "model.language_model.layers.3.mlp.experts.174", "model.language_model.layers.3.mlp.experts.175", "model.language_model.layers.3.mlp.experts.176", "model.language_model.layers.3.mlp.experts.177", "model.language_model.layers.3.mlp.experts.178", "model.language_model.layers.3.mlp.experts.179", "model.language_model.layers.3.mlp.experts.180", "model.language_model.layers.3.mlp.experts.181", "model.language_model.layers.3.mlp.experts.182", "model.language_model.layers.3.mlp.experts.183", "model.language_model.layers.3.mlp.experts.184", "model.language_model.layers.3.mlp.experts.185", "model.language_model.layers.3.mlp.experts.186", "model.language_model.layers.3.mlp.experts.187", "model.language_model.layers.3.mlp.experts.188", "model.language_model.layers.3.mlp.experts.189", "model.language_model.layers.3.mlp.experts.190", "model.language_model.layers.3.mlp.experts.191", "model.language_model.layers.3.mlp.experts.192", "model.language_model.layers.3.mlp.experts.193", "model.language_model.layers.3.mlp.experts.194", "model.language_model.layers.3.mlp.experts.195", "model.language_model.layers.3.mlp.experts.196", "model.language_model.layers.3.mlp.experts.197", "model.language_model.layers.3.mlp.experts.198", "model.language_model.layers.3.mlp.experts.199", "model.language_model.layers.3.mlp.experts.200", "model.language_model.layers.3.mlp.experts.201", "model.language_model.layers.3.mlp.experts.202", "model.language_model.layers.3.mlp.experts.203", "model.language_model.layers.3.mlp.experts.204", "model.language_model.layers.3.mlp.experts.205", "model.language_model.layers.3.mlp.experts.206", "model.language_model.layers.3.mlp.experts.207", "model.language_model.layers.3.mlp.experts.208", "model.language_model.layers.3.mlp.experts.209", "model.language_model.layers.3.mlp.experts.210", "model.language_model.layers.3.mlp.experts.211", "model.language_model.layers.3.mlp.experts.212", "model.language_model.layers.3.mlp.experts.213", "model.language_model.layers.3.mlp.experts.214", "model.language_model.layers.3.mlp.experts.215", "model.language_model.layers.3.mlp.experts.216", "model.language_model.layers.3.mlp.experts.217", "model.language_model.layers.3.mlp.experts.218", "model.language_model.layers.3.mlp.experts.219", "model.language_model.layers.3.mlp.experts.220", "model.language_model.layers.3.mlp.experts.221", "model.language_model.layers.3.mlp.experts.222", "model.language_model.layers.3.mlp.experts.223", "model.language_model.layers.3.mlp.experts.224", "model.language_model.layers.3.mlp.experts.225", "model.language_model.layers.3.mlp.experts.226", "model.language_model.layers.3.mlp.experts.227", "model.language_model.layers.3.mlp.experts.228", "model.language_model.layers.3.mlp.experts.229", "model.language_model.layers.3.mlp.experts.230", "model.language_model.layers.3.mlp.experts.231", "model.language_model.layers.3.mlp.experts.232", "model.language_model.layers.3.mlp.experts.233", "model.language_model.layers.3.mlp.experts.234", "model.language_model.layers.3.mlp.experts.235", "model.language_model.layers.3.mlp.experts.236", "model.language_model.layers.3.mlp.experts.237", "model.language_model.layers.3.mlp.experts.238", "model.language_model.layers.3.mlp.experts.239", "model.language_model.layers.3.mlp.experts.240", "model.language_model.layers.3.mlp.experts.241", "model.language_model.layers.3.mlp.experts.242", "model.language_model.layers.3.mlp.experts.243", "model.language_model.layers.3.mlp.experts.244", "model.language_model.layers.3.mlp.experts.245", "model.language_model.layers.3.mlp.experts.246", "model.language_model.layers.3.mlp.experts.247", "model.language_model.layers.3.mlp.experts.248", "model.language_model.layers.3.mlp.experts.249", "model.language_model.layers.3.mlp.experts.250", "model.language_model.layers.3.mlp.experts.251", "model.language_model.layers.3.mlp.experts.252", "model.language_model.layers.3.mlp.experts.253", "model.language_model.layers.3.mlp.experts.254", "model.language_model.layers.3.mlp.experts.255", "model.language_model.layers.3.mlp.shared_expert_gate", "model.language_model.layers.4.linear_attn", "model.language_model.layers.4.linear_attn.norm", "model.language_model.layers.4.linear_attn.in_proj_b", "model.language_model.layers.4.linear_attn.in_proj_a", "model.language_model.layers.4.mlp.gate", "model.language_model.layers.4.mlp.experts.0", "model.language_model.layers.4.mlp.experts.1", "model.language_model.layers.4.mlp.experts.2", "model.language_model.layers.4.mlp.experts.3", "model.language_model.layers.4.mlp.experts.4", "model.language_model.layers.4.mlp.experts.5", "model.language_model.layers.4.mlp.experts.6", "model.language_model.layers.4.mlp.experts.7", "model.language_model.layers.4.mlp.experts.8", "model.language_model.layers.4.mlp.experts.9", "model.language_model.layers.4.mlp.experts.10", "model.language_model.layers.4.mlp.experts.11", "model.language_model.layers.4.mlp.experts.12", "model.language_model.layers.4.mlp.experts.13", "model.language_model.layers.4.mlp.experts.14", "model.language_model.layers.4.mlp.experts.15", "model.language_model.layers.4.mlp.experts.16", "model.language_model.layers.4.mlp.experts.17", "model.language_model.layers.4.mlp.experts.18", "model.language_model.layers.4.mlp.experts.19", "model.language_model.layers.4.mlp.experts.20", "model.language_model.layers.4.mlp.experts.21", "model.language_model.layers.4.mlp.experts.22", "model.language_model.layers.4.mlp.experts.23", "model.language_model.layers.4.mlp.experts.24", "model.language_model.layers.4.mlp.experts.25", "model.language_model.layers.4.mlp.experts.26", "model.language_model.layers.4.mlp.experts.27", "model.language_model.layers.4.mlp.experts.28", "model.language_model.layers.4.mlp.experts.29", "model.language_model.layers.4.mlp.experts.30", "model.language_model.layers.4.mlp.experts.31", "model.language_model.layers.4.mlp.experts.32", "model.language_model.layers.4.mlp.experts.33", "model.language_model.layers.4.mlp.experts.34", "model.language_model.layers.4.mlp.experts.35", "model.language_model.layers.4.mlp.experts.36", "model.language_model.layers.4.mlp.experts.37", "model.language_model.layers.4.mlp.experts.38", "model.language_model.layers.4.mlp.experts.39", "model.language_model.layers.4.mlp.experts.40", "model.language_model.layers.4.mlp.experts.41", "model.language_model.layers.4.mlp.experts.42", "model.language_model.layers.4.mlp.experts.43", "model.language_model.layers.4.mlp.experts.44", "model.language_model.layers.4.mlp.experts.45", "model.language_model.layers.4.mlp.experts.46", "model.language_model.layers.4.mlp.experts.47", "model.language_model.layers.4.mlp.experts.48", "model.language_model.layers.4.mlp.experts.49", "model.language_model.layers.4.mlp.experts.50", "model.language_model.layers.4.mlp.experts.51", "model.language_model.layers.4.mlp.experts.52", "model.language_model.layers.4.mlp.experts.53", "model.language_model.layers.4.mlp.experts.54", "model.language_model.layers.4.mlp.experts.55", "model.language_model.layers.4.mlp.experts.56", "model.language_model.layers.4.mlp.experts.57", "model.language_model.layers.4.mlp.experts.58", "model.language_model.layers.4.mlp.experts.59", "model.language_model.layers.4.mlp.experts.60", "model.language_model.layers.4.mlp.experts.61", "model.language_model.layers.4.mlp.experts.62", "model.language_model.layers.4.mlp.experts.63", "model.language_model.layers.4.mlp.experts.64", "model.language_model.layers.4.mlp.experts.65", "model.language_model.layers.4.mlp.experts.66", "model.language_model.layers.4.mlp.experts.67", "model.language_model.layers.4.mlp.experts.68", "model.language_model.layers.4.mlp.experts.69", "model.language_model.layers.4.mlp.experts.70", "model.language_model.layers.4.mlp.experts.71", "model.language_model.layers.4.mlp.experts.72", "model.language_model.layers.4.mlp.experts.73", "model.language_model.layers.4.mlp.experts.74", "model.language_model.layers.4.mlp.experts.75", "model.language_model.layers.4.mlp.experts.76", "model.language_model.layers.4.mlp.experts.77", "model.language_model.layers.4.mlp.experts.78", "model.language_model.layers.4.mlp.experts.79", "model.language_model.layers.4.mlp.experts.80", "model.language_model.layers.4.mlp.experts.81", "model.language_model.layers.4.mlp.experts.82", "model.language_model.layers.4.mlp.experts.83", "model.language_model.layers.4.mlp.experts.84", "model.language_model.layers.4.mlp.experts.85", "model.language_model.layers.4.mlp.experts.86", "model.language_model.layers.4.mlp.experts.87", "model.language_model.layers.4.mlp.experts.88", "model.language_model.layers.4.mlp.experts.89", "model.language_model.layers.4.mlp.experts.90", "model.language_model.layers.4.mlp.experts.91", "model.language_model.layers.4.mlp.experts.92", "model.language_model.layers.4.mlp.experts.93", "model.language_model.layers.4.mlp.experts.94", "model.language_model.layers.4.mlp.experts.95", "model.language_model.layers.4.mlp.experts.96", "model.language_model.layers.4.mlp.experts.97", "model.language_model.layers.4.mlp.experts.98", "model.language_model.layers.4.mlp.experts.99", "model.language_model.layers.4.mlp.experts.100", "model.language_model.layers.4.mlp.experts.101", "model.language_model.layers.4.mlp.experts.102", "model.language_model.layers.4.mlp.experts.103", "model.language_model.layers.4.mlp.experts.104", "model.language_model.layers.4.mlp.experts.105", "model.language_model.layers.4.mlp.experts.106", "model.language_model.layers.4.mlp.experts.107", "model.language_model.layers.4.mlp.experts.108", "model.language_model.layers.4.mlp.experts.109", "model.language_model.layers.4.mlp.experts.110", "model.language_model.layers.4.mlp.experts.111", "model.language_model.layers.4.mlp.experts.112", "model.language_model.layers.4.mlp.experts.113", "model.language_model.layers.4.mlp.experts.114", "model.language_model.layers.4.mlp.experts.115", "model.language_model.layers.4.mlp.experts.116", "model.language_model.layers.4.mlp.experts.117", "model.language_model.layers.4.mlp.experts.118", "model.language_model.layers.4.mlp.experts.119", "model.language_model.layers.4.mlp.experts.120", "model.language_model.layers.4.mlp.experts.121", "model.language_model.layers.4.mlp.experts.122", "model.language_model.layers.4.mlp.experts.123", "model.language_model.layers.4.mlp.experts.124", "model.language_model.layers.4.mlp.experts.125", "model.language_model.layers.4.mlp.experts.126", "model.language_model.layers.4.mlp.experts.127", "model.language_model.layers.4.mlp.experts.128", "model.language_model.layers.4.mlp.experts.129", "model.language_model.layers.4.mlp.experts.130", "model.language_model.layers.4.mlp.experts.131", "model.language_model.layers.4.mlp.experts.132", "model.language_model.layers.4.mlp.experts.133", "model.language_model.layers.4.mlp.experts.134", "model.language_model.layers.4.mlp.experts.135", "model.language_model.layers.4.mlp.experts.136", "model.language_model.layers.4.mlp.experts.137", "model.language_model.layers.4.mlp.experts.138", "model.language_model.layers.4.mlp.experts.139", "model.language_model.layers.4.mlp.experts.140", "model.language_model.layers.4.mlp.experts.141", "model.language_model.layers.4.mlp.experts.142", "model.language_model.layers.4.mlp.experts.143", "model.language_model.layers.4.mlp.experts.144", "model.language_model.layers.4.mlp.experts.145", "model.language_model.layers.4.mlp.experts.146", "model.language_model.layers.4.mlp.experts.147", "model.language_model.layers.4.mlp.experts.148", "model.language_model.layers.4.mlp.experts.149", "model.language_model.layers.4.mlp.experts.150", "model.language_model.layers.4.mlp.experts.151", "model.language_model.layers.4.mlp.experts.152", "model.language_model.layers.4.mlp.experts.153", "model.language_model.layers.4.mlp.experts.154", "model.language_model.layers.4.mlp.experts.155", "model.language_model.layers.4.mlp.experts.156", "model.language_model.layers.4.mlp.experts.157", "model.language_model.layers.4.mlp.experts.158", "model.language_model.layers.4.mlp.experts.159", "model.language_model.layers.4.mlp.experts.160", "model.language_model.layers.4.mlp.experts.161", "model.language_model.layers.4.mlp.experts.162", "model.language_model.layers.4.mlp.experts.163", "model.language_model.layers.4.mlp.experts.164", "model.language_model.layers.4.mlp.experts.165", "model.language_model.layers.4.mlp.experts.166", "model.language_model.layers.4.mlp.experts.167", "model.language_model.layers.4.mlp.experts.168", "model.language_model.layers.4.mlp.experts.169", "model.language_model.layers.4.mlp.experts.170", "model.language_model.layers.4.mlp.experts.171", "model.language_model.layers.4.mlp.experts.172", "model.language_model.layers.4.mlp.experts.173", "model.language_model.layers.4.mlp.experts.174", "model.language_model.layers.4.mlp.experts.175", "model.language_model.layers.4.mlp.experts.176", "model.language_model.layers.4.mlp.experts.177", "model.language_model.layers.4.mlp.experts.178", "model.language_model.layers.4.mlp.experts.179", "model.language_model.layers.4.mlp.experts.180", "model.language_model.layers.4.mlp.experts.181", "model.language_model.layers.4.mlp.experts.182", "model.language_model.layers.4.mlp.experts.183", "model.language_model.layers.4.mlp.experts.184", "model.language_model.layers.4.mlp.experts.185", "model.language_model.layers.4.mlp.experts.186", "model.language_model.layers.4.mlp.experts.187", "model.language_model.layers.4.mlp.experts.188", "model.language_model.layers.4.mlp.experts.189", "model.language_model.layers.4.mlp.experts.190", "model.language_model.layers.4.mlp.experts.191", "model.language_model.layers.4.mlp.experts.192", "model.language_model.layers.4.mlp.experts.193", "model.language_model.layers.4.mlp.experts.194", "model.language_model.layers.4.mlp.experts.195", "model.language_model.layers.4.mlp.experts.196", "model.language_model.layers.4.mlp.experts.197", "model.language_model.layers.4.mlp.experts.198", "model.language_model.layers.4.mlp.experts.199", "model.language_model.layers.4.mlp.experts.200", "model.language_model.layers.4.mlp.experts.201", "model.language_model.layers.4.mlp.experts.202", "model.language_model.layers.4.mlp.experts.203", "model.language_model.layers.4.mlp.experts.204", "model.language_model.layers.4.mlp.experts.205", "model.language_model.layers.4.mlp.experts.206", "model.language_model.layers.4.mlp.experts.207", "model.language_model.layers.4.mlp.experts.208", "model.language_model.layers.4.mlp.experts.209", "model.language_model.layers.4.mlp.experts.210", "model.language_model.layers.4.mlp.experts.211", "model.language_model.layers.4.mlp.experts.212", "model.language_model.layers.4.mlp.experts.213", "model.language_model.layers.4.mlp.experts.214", "model.language_model.layers.4.mlp.experts.215", "model.language_model.layers.4.mlp.experts.216", "model.language_model.layers.4.mlp.experts.217", "model.language_model.layers.4.mlp.experts.218", "model.language_model.layers.4.mlp.experts.219", "model.language_model.layers.4.mlp.experts.220", "model.language_model.layers.4.mlp.experts.221", "model.language_model.layers.4.mlp.experts.222", "model.language_model.layers.4.mlp.experts.223", "model.language_model.layers.4.mlp.experts.224", "model.language_model.layers.4.mlp.experts.225", "model.language_model.layers.4.mlp.experts.226", "model.language_model.layers.4.mlp.experts.227", "model.language_model.layers.4.mlp.experts.228", "model.language_model.layers.4.mlp.experts.229", "model.language_model.layers.4.mlp.experts.230", "model.language_model.layers.4.mlp.experts.231", "model.language_model.layers.4.mlp.experts.232", "model.language_model.layers.4.mlp.experts.233", "model.language_model.layers.4.mlp.experts.234", "model.language_model.layers.4.mlp.experts.235", "model.language_model.layers.4.mlp.experts.236", "model.language_model.layers.4.mlp.experts.237", "model.language_model.layers.4.mlp.experts.238", "model.language_model.layers.4.mlp.experts.239", "model.language_model.layers.4.mlp.experts.240", "model.language_model.layers.4.mlp.experts.241", "model.language_model.layers.4.mlp.experts.242", "model.language_model.layers.4.mlp.experts.243", "model.language_model.layers.4.mlp.experts.244", "model.language_model.layers.4.mlp.experts.245", "model.language_model.layers.4.mlp.experts.246", "model.language_model.layers.4.mlp.experts.247", "model.language_model.layers.4.mlp.experts.248", "model.language_model.layers.4.mlp.experts.249", "model.language_model.layers.4.mlp.experts.250", "model.language_model.layers.4.mlp.experts.251", "model.language_model.layers.4.mlp.experts.252", "model.language_model.layers.4.mlp.experts.253", "model.language_model.layers.4.mlp.experts.254", "model.language_model.layers.4.mlp.experts.255", "model.language_model.layers.4.mlp.shared_expert_gate", "model.language_model.layers.5.linear_attn", "model.language_model.layers.5.linear_attn.norm", "model.language_model.layers.5.linear_attn.in_proj_b", "model.language_model.layers.5.linear_attn.in_proj_a", "model.language_model.layers.5.mlp.gate", "model.language_model.layers.5.mlp.experts.0", "model.language_model.layers.5.mlp.experts.1", "model.language_model.layers.5.mlp.experts.2", "model.language_model.layers.5.mlp.experts.3", "model.language_model.layers.5.mlp.experts.4", "model.language_model.layers.5.mlp.experts.5", "model.language_model.layers.5.mlp.experts.6", "model.language_model.layers.5.mlp.experts.7", "model.language_model.layers.5.mlp.experts.8", "model.language_model.layers.5.mlp.experts.9", "model.language_model.layers.5.mlp.experts.10", "model.language_model.layers.5.mlp.experts.11", "model.language_model.layers.5.mlp.experts.12", "model.language_model.layers.5.mlp.experts.13", "model.language_model.layers.5.mlp.experts.14", "model.language_model.layers.5.mlp.experts.15", "model.language_model.layers.5.mlp.experts.16", "model.language_model.layers.5.mlp.experts.17", "model.language_model.layers.5.mlp.experts.18", "model.language_model.layers.5.mlp.experts.19", "model.language_model.layers.5.mlp.experts.20", "model.language_model.layers.5.mlp.experts.21", "model.language_model.layers.5.mlp.experts.22", "model.language_model.layers.5.mlp.experts.23", "model.language_model.layers.5.mlp.experts.24", "model.language_model.layers.5.mlp.experts.25", "model.language_model.layers.5.mlp.experts.26", "model.language_model.layers.5.mlp.experts.27", "model.language_model.layers.5.mlp.experts.28", "model.language_model.layers.5.mlp.experts.29", "model.language_model.layers.5.mlp.experts.30", "model.language_model.layers.5.mlp.experts.31", "model.language_model.layers.5.mlp.experts.32", "model.language_model.layers.5.mlp.experts.33", "model.language_model.layers.5.mlp.experts.34", "model.language_model.layers.5.mlp.experts.35", "model.language_model.layers.5.mlp.experts.36", "model.language_model.layers.5.mlp.experts.37", "model.language_model.layers.5.mlp.experts.38", "model.language_model.layers.5.mlp.experts.39", "model.language_model.layers.5.mlp.experts.40", "model.language_model.layers.5.mlp.experts.41", "model.language_model.layers.5.mlp.experts.42", "model.language_model.layers.5.mlp.experts.43", "model.language_model.layers.5.mlp.experts.44", "model.language_model.layers.5.mlp.experts.45", "model.language_model.layers.5.mlp.experts.46", "model.language_model.layers.5.mlp.experts.47", "model.language_model.layers.5.mlp.experts.48", "model.language_model.layers.5.mlp.experts.49", "model.language_model.layers.5.mlp.experts.50", "model.language_model.layers.5.mlp.experts.51", "model.language_model.layers.5.mlp.experts.52", "model.language_model.layers.5.mlp.experts.53", "model.language_model.layers.5.mlp.experts.54", "model.language_model.layers.5.mlp.experts.55", "model.language_model.layers.5.mlp.experts.56", "model.language_model.layers.5.mlp.experts.57", "model.language_model.layers.5.mlp.experts.58", "model.language_model.layers.5.mlp.experts.59", "model.language_model.layers.5.mlp.experts.60", "model.language_model.layers.5.mlp.experts.61", "model.language_model.layers.5.mlp.experts.62", "model.language_model.layers.5.mlp.experts.63", "model.language_model.layers.5.mlp.experts.64", "model.language_model.layers.5.mlp.experts.65", "model.language_model.layers.5.mlp.experts.66", "model.language_model.layers.5.mlp.experts.67", "model.language_model.layers.5.mlp.experts.68", "model.language_model.layers.5.mlp.experts.69", "model.language_model.layers.5.mlp.experts.70", "model.language_model.layers.5.mlp.experts.71", "model.language_model.layers.5.mlp.experts.72", "model.language_model.layers.5.mlp.experts.73", "model.language_model.layers.5.mlp.experts.74", "model.language_model.layers.5.mlp.experts.75", "model.language_model.layers.5.mlp.experts.76", "model.language_model.layers.5.mlp.experts.77", "model.language_model.layers.5.mlp.experts.78", "model.language_model.layers.5.mlp.experts.79", "model.language_model.layers.5.mlp.experts.80", "model.language_model.layers.5.mlp.experts.81", "model.language_model.layers.5.mlp.experts.82", "model.language_model.layers.5.mlp.experts.83", "model.language_model.layers.5.mlp.experts.84", "model.language_model.layers.5.mlp.experts.85", "model.language_model.layers.5.mlp.experts.86", "model.language_model.layers.5.mlp.experts.87", "model.language_model.layers.5.mlp.experts.88", "model.language_model.layers.5.mlp.experts.89", "model.language_model.layers.5.mlp.experts.90", "model.language_model.layers.5.mlp.experts.91", "model.language_model.layers.5.mlp.experts.92", "model.language_model.layers.5.mlp.experts.93", "model.language_model.layers.5.mlp.experts.94", "model.language_model.layers.5.mlp.experts.95", "model.language_model.layers.5.mlp.experts.96", "model.language_model.layers.5.mlp.experts.97", "model.language_model.layers.5.mlp.experts.98", "model.language_model.layers.5.mlp.experts.99", "model.language_model.layers.5.mlp.experts.100", "model.language_model.layers.5.mlp.experts.101", "model.language_model.layers.5.mlp.experts.102", "model.language_model.layers.5.mlp.experts.103", "model.language_model.layers.5.mlp.experts.104", "model.language_model.layers.5.mlp.experts.105", "model.language_model.layers.5.mlp.experts.106", "model.language_model.layers.5.mlp.experts.107", "model.language_model.layers.5.mlp.experts.108", "model.language_model.layers.5.mlp.experts.109", "model.language_model.layers.5.mlp.experts.110", "model.language_model.layers.5.mlp.experts.111", "model.language_model.layers.5.mlp.experts.112", "model.language_model.layers.5.mlp.experts.113", "model.language_model.layers.5.mlp.experts.114", "model.language_model.layers.5.mlp.experts.115", "model.language_model.layers.5.mlp.experts.116", "model.language_model.layers.5.mlp.experts.117", "model.language_model.layers.5.mlp.experts.118", "model.language_model.layers.5.mlp.experts.119", "model.language_model.layers.5.mlp.experts.120", "model.language_model.layers.5.mlp.experts.121", "model.language_model.layers.5.mlp.experts.122", "model.language_model.layers.5.mlp.experts.123", "model.language_model.layers.5.mlp.experts.124", "model.language_model.layers.5.mlp.experts.125", "model.language_model.layers.5.mlp.experts.126", "model.language_model.layers.5.mlp.experts.127", "model.language_model.layers.5.mlp.experts.128", "model.language_model.layers.5.mlp.experts.129", "model.language_model.layers.5.mlp.experts.130", "model.language_model.layers.5.mlp.experts.131", "model.language_model.layers.5.mlp.experts.132", "model.language_model.layers.5.mlp.experts.133", "model.language_model.layers.5.mlp.experts.134", "model.language_model.layers.5.mlp.experts.135", "model.language_model.layers.5.mlp.experts.136", "model.language_model.layers.5.mlp.experts.137", "model.language_model.layers.5.mlp.experts.138", "model.language_model.layers.5.mlp.experts.139", "model.language_model.layers.5.mlp.experts.140", "model.language_model.layers.5.mlp.experts.141", "model.language_model.layers.5.mlp.experts.142", "model.language_model.layers.5.mlp.experts.143", "model.language_model.layers.5.mlp.experts.144", "model.language_model.layers.5.mlp.experts.145", "model.language_model.layers.5.mlp.experts.146", "model.language_model.layers.5.mlp.experts.147", "model.language_model.layers.5.mlp.experts.148", "model.language_model.layers.5.mlp.experts.149", "model.language_model.layers.5.mlp.experts.150", "model.language_model.layers.5.mlp.experts.151", "model.language_model.layers.5.mlp.experts.152", "model.language_model.layers.5.mlp.experts.153", "model.language_model.layers.5.mlp.experts.154", "model.language_model.layers.5.mlp.experts.155", "model.language_model.layers.5.mlp.experts.156", "model.language_model.layers.5.mlp.experts.157", "model.language_model.layers.5.mlp.experts.158", "model.language_model.layers.5.mlp.experts.159", "model.language_model.layers.5.mlp.experts.160", "model.language_model.layers.5.mlp.experts.161", "model.language_model.layers.5.mlp.experts.162", "model.language_model.layers.5.mlp.experts.163", "model.language_model.layers.5.mlp.experts.164", "model.language_model.layers.5.mlp.experts.165", "model.language_model.layers.5.mlp.experts.166", "model.language_model.layers.5.mlp.experts.167", "model.language_model.layers.5.mlp.experts.168", "model.language_model.layers.5.mlp.experts.169", "model.language_model.layers.5.mlp.experts.170", "model.language_model.layers.5.mlp.experts.171", "model.language_model.layers.5.mlp.experts.172", "model.language_model.layers.5.mlp.experts.173", "model.language_model.layers.5.mlp.experts.174", "model.language_model.layers.5.mlp.experts.175", "model.language_model.layers.5.mlp.experts.176", "model.language_model.layers.5.mlp.experts.177", "model.language_model.layers.5.mlp.experts.178", "model.language_model.layers.5.mlp.experts.179", "model.language_model.layers.5.mlp.experts.180", "model.language_model.layers.5.mlp.experts.181", "model.language_model.layers.5.mlp.experts.182", "model.language_model.layers.5.mlp.experts.183", "model.language_model.layers.5.mlp.experts.184", "model.language_model.layers.5.mlp.experts.185", "model.language_model.layers.5.mlp.experts.186", "model.language_model.layers.5.mlp.experts.187", "model.language_model.layers.5.mlp.experts.188", "model.language_model.layers.5.mlp.experts.189", "model.language_model.layers.5.mlp.experts.190", "model.language_model.layers.5.mlp.experts.191", "model.language_model.layers.5.mlp.experts.192", "model.language_model.layers.5.mlp.experts.193", "model.language_model.layers.5.mlp.experts.194", "model.language_model.layers.5.mlp.experts.195", "model.language_model.layers.5.mlp.experts.196", "model.language_model.layers.5.mlp.experts.197", "model.language_model.layers.5.mlp.experts.198", "model.language_model.layers.5.mlp.experts.199", "model.language_model.layers.5.mlp.experts.200", "model.language_model.layers.5.mlp.experts.201", "model.language_model.layers.5.mlp.experts.202", "model.language_model.layers.5.mlp.experts.203", "model.language_model.layers.5.mlp.experts.204", "model.language_model.layers.5.mlp.experts.205", "model.language_model.layers.5.mlp.experts.206", "model.language_model.layers.5.mlp.experts.207", "model.language_model.layers.5.mlp.experts.208", "model.language_model.layers.5.mlp.experts.209", "model.language_model.layers.5.mlp.experts.210", "model.language_model.layers.5.mlp.experts.211", "model.language_model.layers.5.mlp.experts.212", "model.language_model.layers.5.mlp.experts.213", "model.language_model.layers.5.mlp.experts.214", "model.language_model.layers.5.mlp.experts.215", "model.language_model.layers.5.mlp.experts.216", "model.language_model.layers.5.mlp.experts.217", "model.language_model.layers.5.mlp.experts.218", "model.language_model.layers.5.mlp.experts.219", "model.language_model.layers.5.mlp.experts.220", "model.language_model.layers.5.mlp.experts.221", "model.language_model.layers.5.mlp.experts.222", "model.language_model.layers.5.mlp.experts.223", "model.language_model.layers.5.mlp.experts.224", "model.language_model.layers.5.mlp.experts.225", "model.language_model.layers.5.mlp.experts.226", "model.language_model.layers.5.mlp.experts.227", "model.language_model.layers.5.mlp.experts.228", "model.language_model.layers.5.mlp.experts.229", "model.language_model.layers.5.mlp.experts.230", "model.language_model.layers.5.mlp.experts.231", "model.language_model.layers.5.mlp.experts.232", "model.language_model.layers.5.mlp.experts.233", "model.language_model.layers.5.mlp.experts.234", "model.language_model.layers.5.mlp.experts.235", "model.language_model.layers.5.mlp.experts.236", "model.language_model.layers.5.mlp.experts.237", "model.language_model.layers.5.mlp.experts.238", "model.language_model.layers.5.mlp.experts.239", "model.language_model.layers.5.mlp.experts.240", "model.language_model.layers.5.mlp.experts.241", "model.language_model.layers.5.mlp.experts.242", "model.language_model.layers.5.mlp.experts.243", "model.language_model.layers.5.mlp.experts.244", "model.language_model.layers.5.mlp.experts.245", "model.language_model.layers.5.mlp.experts.246", "model.language_model.layers.5.mlp.experts.247", "model.language_model.layers.5.mlp.experts.248", "model.language_model.layers.5.mlp.experts.249", "model.language_model.layers.5.mlp.experts.250", "model.language_model.layers.5.mlp.experts.251", "model.language_model.layers.5.mlp.experts.252", "model.language_model.layers.5.mlp.experts.253", "model.language_model.layers.5.mlp.experts.254", "model.language_model.layers.5.mlp.experts.255", "model.language_model.layers.5.mlp.shared_expert_gate", "model.language_model.layers.6.linear_attn", "model.language_model.layers.6.linear_attn.norm", "model.language_model.layers.6.linear_attn.in_proj_b", "model.language_model.layers.6.linear_attn.in_proj_a", "model.language_model.layers.6.mlp.gate", "model.language_model.layers.6.mlp.experts.0", "model.language_model.layers.6.mlp.experts.1", "model.language_model.layers.6.mlp.experts.2", "model.language_model.layers.6.mlp.experts.3", "model.language_model.layers.6.mlp.experts.4", "model.language_model.layers.6.mlp.experts.5", "model.language_model.layers.6.mlp.experts.6", "model.language_model.layers.6.mlp.experts.7", "model.language_model.layers.6.mlp.experts.8", "model.language_model.layers.6.mlp.experts.9", "model.language_model.layers.6.mlp.experts.10", "model.language_model.layers.6.mlp.experts.11", "model.language_model.layers.6.mlp.experts.12", "model.language_model.layers.6.mlp.experts.13", "model.language_model.layers.6.mlp.experts.14", "model.language_model.layers.6.mlp.experts.15", "model.language_model.layers.6.mlp.experts.16", "model.language_model.layers.6.mlp.experts.17", "model.language_model.layers.6.mlp.experts.18", "model.language_model.layers.6.mlp.experts.19", "model.language_model.layers.6.mlp.experts.20", "model.language_model.layers.6.mlp.experts.21", "model.language_model.layers.6.mlp.experts.22", "model.language_model.layers.6.mlp.experts.23", "model.language_model.layers.6.mlp.experts.24", "model.language_model.layers.6.mlp.experts.25", "model.language_model.layers.6.mlp.experts.26", "model.language_model.layers.6.mlp.experts.27", "model.language_model.layers.6.mlp.experts.28", "model.language_model.layers.6.mlp.experts.29", "model.language_model.layers.6.mlp.experts.30", "model.language_model.layers.6.mlp.experts.31", "model.language_model.layers.6.mlp.experts.32", "model.language_model.layers.6.mlp.experts.33", "model.language_model.layers.6.mlp.experts.34", "model.language_model.layers.6.mlp.experts.35", "model.language_model.layers.6.mlp.experts.36", "model.language_model.layers.6.mlp.experts.37", "model.language_model.layers.6.mlp.experts.38", "model.language_model.layers.6.mlp.experts.39", "model.language_model.layers.6.mlp.experts.40", "model.language_model.layers.6.mlp.experts.41", "model.language_model.layers.6.mlp.experts.42", "model.language_model.layers.6.mlp.experts.43", "model.language_model.layers.6.mlp.experts.44", "model.language_model.layers.6.mlp.experts.45", "model.language_model.layers.6.mlp.experts.46", "model.language_model.layers.6.mlp.experts.47", "model.language_model.layers.6.mlp.experts.48", "model.language_model.layers.6.mlp.experts.49", "model.language_model.layers.6.mlp.experts.50", "model.language_model.layers.6.mlp.experts.51", "model.language_model.layers.6.mlp.experts.52", "model.language_model.layers.6.mlp.experts.53", "model.language_model.layers.6.mlp.experts.54", "model.language_model.layers.6.mlp.experts.55", "model.language_model.layers.6.mlp.experts.56", "model.language_model.layers.6.mlp.experts.57", "model.language_model.layers.6.mlp.experts.58", "model.language_model.layers.6.mlp.experts.59", "model.language_model.layers.6.mlp.experts.60", "model.language_model.layers.6.mlp.experts.61", "model.language_model.layers.6.mlp.experts.62", "model.language_model.layers.6.mlp.experts.63", "model.language_model.layers.6.mlp.experts.64", "model.language_model.layers.6.mlp.experts.65", "model.language_model.layers.6.mlp.experts.66", "model.language_model.layers.6.mlp.experts.67", "model.language_model.layers.6.mlp.experts.68", "model.language_model.layers.6.mlp.experts.69", "model.language_model.layers.6.mlp.experts.70", "model.language_model.layers.6.mlp.experts.71", "model.language_model.layers.6.mlp.experts.72", "model.language_model.layers.6.mlp.experts.73", "model.language_model.layers.6.mlp.experts.74", "model.language_model.layers.6.mlp.experts.75", "model.language_model.layers.6.mlp.experts.76", "model.language_model.layers.6.mlp.experts.77", "model.language_model.layers.6.mlp.experts.78", "model.language_model.layers.6.mlp.experts.79", "model.language_model.layers.6.mlp.experts.80", "model.language_model.layers.6.mlp.experts.81", "model.language_model.layers.6.mlp.experts.82", "model.language_model.layers.6.mlp.experts.83", "model.language_model.layers.6.mlp.experts.84", "model.language_model.layers.6.mlp.experts.85", "model.language_model.layers.6.mlp.experts.86", "model.language_model.layers.6.mlp.experts.87", "model.language_model.layers.6.mlp.experts.88", "model.language_model.layers.6.mlp.experts.89", "model.language_model.layers.6.mlp.experts.90", "model.language_model.layers.6.mlp.experts.91", "model.language_model.layers.6.mlp.experts.92", "model.language_model.layers.6.mlp.experts.93", "model.language_model.layers.6.mlp.experts.94", "model.language_model.layers.6.mlp.experts.95", "model.language_model.layers.6.mlp.experts.96", "model.language_model.layers.6.mlp.experts.97", "model.language_model.layers.6.mlp.experts.98", "model.language_model.layers.6.mlp.experts.99", "model.language_model.layers.6.mlp.experts.100", "model.language_model.layers.6.mlp.experts.101", "model.language_model.layers.6.mlp.experts.102", "model.language_model.layers.6.mlp.experts.103", "model.language_model.layers.6.mlp.experts.104", "model.language_model.layers.6.mlp.experts.105", "model.language_model.layers.6.mlp.experts.106", "model.language_model.layers.6.mlp.experts.107", "model.language_model.layers.6.mlp.experts.108", "model.language_model.layers.6.mlp.experts.109", "model.language_model.layers.6.mlp.experts.110", "model.language_model.layers.6.mlp.experts.111", "model.language_model.layers.6.mlp.experts.112", "model.language_model.layers.6.mlp.experts.113", "model.language_model.layers.6.mlp.experts.114", "model.language_model.layers.6.mlp.experts.115", "model.language_model.layers.6.mlp.experts.116", "model.language_model.layers.6.mlp.experts.117", "model.language_model.layers.6.mlp.experts.118", "model.language_model.layers.6.mlp.experts.119", "model.language_model.layers.6.mlp.experts.120", "model.language_model.layers.6.mlp.experts.121", "model.language_model.layers.6.mlp.experts.122", "model.language_model.layers.6.mlp.experts.123", "model.language_model.layers.6.mlp.experts.124", "model.language_model.layers.6.mlp.experts.125", "model.language_model.layers.6.mlp.experts.126", "model.language_model.layers.6.mlp.experts.127", "model.language_model.layers.6.mlp.experts.128", "model.language_model.layers.6.mlp.experts.129", "model.language_model.layers.6.mlp.experts.130", "model.language_model.layers.6.mlp.experts.131", "model.language_model.layers.6.mlp.experts.132", "model.language_model.layers.6.mlp.experts.133", "model.language_model.layers.6.mlp.experts.134", "model.language_model.layers.6.mlp.experts.135", "model.language_model.layers.6.mlp.experts.136", "model.language_model.layers.6.mlp.experts.137", "model.language_model.layers.6.mlp.experts.138", "model.language_model.layers.6.mlp.experts.139", "model.language_model.layers.6.mlp.experts.140", "model.language_model.layers.6.mlp.experts.141", "model.language_model.layers.6.mlp.experts.142", "model.language_model.layers.6.mlp.experts.143", "model.language_model.layers.6.mlp.experts.144", "model.language_model.layers.6.mlp.experts.145", "model.language_model.layers.6.mlp.experts.146", "model.language_model.layers.6.mlp.experts.147", "model.language_model.layers.6.mlp.experts.148", "model.language_model.layers.6.mlp.experts.149", "model.language_model.layers.6.mlp.experts.150", "model.language_model.layers.6.mlp.experts.151", "model.language_model.layers.6.mlp.experts.152", "model.language_model.layers.6.mlp.experts.153", "model.language_model.layers.6.mlp.experts.154", "model.language_model.layers.6.mlp.experts.155", "model.language_model.layers.6.mlp.experts.156", "model.language_model.layers.6.mlp.experts.157", "model.language_model.layers.6.mlp.experts.158", "model.language_model.layers.6.mlp.experts.159", "model.language_model.layers.6.mlp.experts.160", "model.language_model.layers.6.mlp.experts.161", "model.language_model.layers.6.mlp.experts.162", "model.language_model.layers.6.mlp.experts.163", "model.language_model.layers.6.mlp.experts.164", "model.language_model.layers.6.mlp.experts.165", "model.language_model.layers.6.mlp.experts.166", "model.language_model.layers.6.mlp.experts.167", "model.language_model.layers.6.mlp.experts.168", "model.language_model.layers.6.mlp.experts.169", "model.language_model.layers.6.mlp.experts.170", "model.language_model.layers.6.mlp.experts.171", "model.language_model.layers.6.mlp.experts.172", "model.language_model.layers.6.mlp.experts.173", "model.language_model.layers.6.mlp.experts.174", "model.language_model.layers.6.mlp.experts.175", "model.language_model.layers.6.mlp.experts.176", "model.language_model.layers.6.mlp.experts.177", "model.language_model.layers.6.mlp.experts.178", "model.language_model.layers.6.mlp.experts.179", "model.language_model.layers.6.mlp.experts.180", "model.language_model.layers.6.mlp.experts.181", "model.language_model.layers.6.mlp.experts.182", "model.language_model.layers.6.mlp.experts.183", "model.language_model.layers.6.mlp.experts.184", "model.language_model.layers.6.mlp.experts.185", "model.language_model.layers.6.mlp.experts.186", "model.language_model.layers.6.mlp.experts.187", "model.language_model.layers.6.mlp.experts.188", "model.language_model.layers.6.mlp.experts.189", "model.language_model.layers.6.mlp.experts.190", "model.language_model.layers.6.mlp.experts.191", "model.language_model.layers.6.mlp.experts.192", "model.language_model.layers.6.mlp.experts.193", "model.language_model.layers.6.mlp.experts.194", "model.language_model.layers.6.mlp.experts.195", "model.language_model.layers.6.mlp.experts.196", "model.language_model.layers.6.mlp.experts.197", "model.language_model.layers.6.mlp.experts.198", "model.language_model.layers.6.mlp.experts.199", "model.language_model.layers.6.mlp.experts.200", "model.language_model.layers.6.mlp.experts.201", "model.language_model.layers.6.mlp.experts.202", "model.language_model.layers.6.mlp.experts.203", "model.language_model.layers.6.mlp.experts.204", "model.language_model.layers.6.mlp.experts.205", "model.language_model.layers.6.mlp.experts.206", "model.language_model.layers.6.mlp.experts.207", "model.language_model.layers.6.mlp.experts.208", "model.language_model.layers.6.mlp.experts.209", "model.language_model.layers.6.mlp.experts.210", "model.language_model.layers.6.mlp.experts.211", "model.language_model.layers.6.mlp.experts.212", "model.language_model.layers.6.mlp.experts.213", "model.language_model.layers.6.mlp.experts.214", "model.language_model.layers.6.mlp.experts.215", "model.language_model.layers.6.mlp.experts.216", "model.language_model.layers.6.mlp.experts.217", "model.language_model.layers.6.mlp.experts.218", "model.language_model.layers.6.mlp.experts.219", "model.language_model.layers.6.mlp.experts.220", "model.language_model.layers.6.mlp.experts.221", "model.language_model.layers.6.mlp.experts.222", "model.language_model.layers.6.mlp.experts.223", "model.language_model.layers.6.mlp.experts.224", "model.language_model.layers.6.mlp.experts.225", "model.language_model.layers.6.mlp.experts.226", "model.language_model.layers.6.mlp.experts.227", "model.language_model.layers.6.mlp.experts.228", "model.language_model.layers.6.mlp.experts.229", "model.language_model.layers.6.mlp.experts.230", "model.language_model.layers.6.mlp.experts.231", "model.language_model.layers.6.mlp.experts.232", "model.language_model.layers.6.mlp.experts.233", "model.language_model.layers.6.mlp.experts.234", "model.language_model.layers.6.mlp.experts.235", "model.language_model.layers.6.mlp.experts.236", "model.language_model.layers.6.mlp.experts.237", "model.language_model.layers.6.mlp.experts.238", "model.language_model.layers.6.mlp.experts.239", "model.language_model.layers.6.mlp.experts.240", "model.language_model.layers.6.mlp.experts.241", "model.language_model.layers.6.mlp.experts.242", "model.language_model.layers.6.mlp.experts.243", "model.language_model.layers.6.mlp.experts.244", "model.language_model.layers.6.mlp.experts.245", "model.language_model.layers.6.mlp.experts.246", "model.language_model.layers.6.mlp.experts.247", "model.language_model.layers.6.mlp.experts.248", "model.language_model.layers.6.mlp.experts.249", "model.language_model.layers.6.mlp.experts.250", "model.language_model.layers.6.mlp.experts.251", "model.language_model.layers.6.mlp.experts.252", "model.language_model.layers.6.mlp.experts.253", "model.language_model.layers.6.mlp.experts.254", "model.language_model.layers.6.mlp.experts.255", "model.language_model.layers.6.mlp.shared_expert_gate", "model.language_model.layers.7.mlp.gate", "model.language_model.layers.7.mlp.experts.0", "model.language_model.layers.7.mlp.experts.1", "model.language_model.layers.7.mlp.experts.2", "model.language_model.layers.7.mlp.experts.3", "model.language_model.layers.7.mlp.experts.4", "model.language_model.layers.7.mlp.experts.5", "model.language_model.layers.7.mlp.experts.6", "model.language_model.layers.7.mlp.experts.7", "model.language_model.layers.7.mlp.experts.8", "model.language_model.layers.7.mlp.experts.9", "model.language_model.layers.7.mlp.experts.10", "model.language_model.layers.7.mlp.experts.11", "model.language_model.layers.7.mlp.experts.12", "model.language_model.layers.7.mlp.experts.13", "model.language_model.layers.7.mlp.experts.14", "model.language_model.layers.7.mlp.experts.15", "model.language_model.layers.7.mlp.experts.16", "model.language_model.layers.7.mlp.experts.17", "model.language_model.layers.7.mlp.experts.18", "model.language_model.layers.7.mlp.experts.19", "model.language_model.layers.7.mlp.experts.20", "model.language_model.layers.7.mlp.experts.21", "model.language_model.layers.7.mlp.experts.22", "model.language_model.layers.7.mlp.experts.23", "model.language_model.layers.7.mlp.experts.24", "model.language_model.layers.7.mlp.experts.25", "model.language_model.layers.7.mlp.experts.26", "model.language_model.layers.7.mlp.experts.27", "model.language_model.layers.7.mlp.experts.28", "model.language_model.layers.7.mlp.experts.29", "model.language_model.layers.7.mlp.experts.30", "model.language_model.layers.7.mlp.experts.31", "model.language_model.layers.7.mlp.experts.32", "model.language_model.layers.7.mlp.experts.33", "model.language_model.layers.7.mlp.experts.34", "model.language_model.layers.7.mlp.experts.35", "model.language_model.layers.7.mlp.experts.36", "model.language_model.layers.7.mlp.experts.37", "model.language_model.layers.7.mlp.experts.38", "model.language_model.layers.7.mlp.experts.39", "model.language_model.layers.7.mlp.experts.40", "model.language_model.layers.7.mlp.experts.41", "model.language_model.layers.7.mlp.experts.42", "model.language_model.layers.7.mlp.experts.43", "model.language_model.layers.7.mlp.experts.44", "model.language_model.layers.7.mlp.experts.45", "model.language_model.layers.7.mlp.experts.46", "model.language_model.layers.7.mlp.experts.47", "model.language_model.layers.7.mlp.experts.48", "model.language_model.layers.7.mlp.experts.49", "model.language_model.layers.7.mlp.experts.50", "model.language_model.layers.7.mlp.experts.51", "model.language_model.layers.7.mlp.experts.52", "model.language_model.layers.7.mlp.experts.53", "model.language_model.layers.7.mlp.experts.54", "model.language_model.layers.7.mlp.experts.55", "model.language_model.layers.7.mlp.experts.56", "model.language_model.layers.7.mlp.experts.57", "model.language_model.layers.7.mlp.experts.58", "model.language_model.layers.7.mlp.experts.59", "model.language_model.layers.7.mlp.experts.60", "model.language_model.layers.7.mlp.experts.61", "model.language_model.layers.7.mlp.experts.62", "model.language_model.layers.7.mlp.experts.63", "model.language_model.layers.7.mlp.experts.64", "model.language_model.layers.7.mlp.experts.65", "model.language_model.layers.7.mlp.experts.66", "model.language_model.layers.7.mlp.experts.67", "model.language_model.layers.7.mlp.experts.68", "model.language_model.layers.7.mlp.experts.69", "model.language_model.layers.7.mlp.experts.70", "model.language_model.layers.7.mlp.experts.71", "model.language_model.layers.7.mlp.experts.72", "model.language_model.layers.7.mlp.experts.73", "model.language_model.layers.7.mlp.experts.74", "model.language_model.layers.7.mlp.experts.75", "model.language_model.layers.7.mlp.experts.76", "model.language_model.layers.7.mlp.experts.77", "model.language_model.layers.7.mlp.experts.78", "model.language_model.layers.7.mlp.experts.79", "model.language_model.layers.7.mlp.experts.80", "model.language_model.layers.7.mlp.experts.81", "model.language_model.layers.7.mlp.experts.82", "model.language_model.layers.7.mlp.experts.83", "model.language_model.layers.7.mlp.experts.84", "model.language_model.layers.7.mlp.experts.85", "model.language_model.layers.7.mlp.experts.86", "model.language_model.layers.7.mlp.experts.87", "model.language_model.layers.7.mlp.experts.88", "model.language_model.layers.7.mlp.experts.89", "model.language_model.layers.7.mlp.experts.90", "model.language_model.layers.7.mlp.experts.91", "model.language_model.layers.7.mlp.experts.92", "model.language_model.layers.7.mlp.experts.93", "model.language_model.layers.7.mlp.experts.94", "model.language_model.layers.7.mlp.experts.95", "model.language_model.layers.7.mlp.experts.96", "model.language_model.layers.7.mlp.experts.97", "model.language_model.layers.7.mlp.experts.98", "model.language_model.layers.7.mlp.experts.99", "model.language_model.layers.7.mlp.experts.100", "model.language_model.layers.7.mlp.experts.101", "model.language_model.layers.7.mlp.experts.102", "model.language_model.layers.7.mlp.experts.103", "model.language_model.layers.7.mlp.experts.104", "model.language_model.layers.7.mlp.experts.105", "model.language_model.layers.7.mlp.experts.106", "model.language_model.layers.7.mlp.experts.107", "model.language_model.layers.7.mlp.experts.108", "model.language_model.layers.7.mlp.experts.109", "model.language_model.layers.7.mlp.experts.110", "model.language_model.layers.7.mlp.experts.111", "model.language_model.layers.7.mlp.experts.112", "model.language_model.layers.7.mlp.experts.113", "model.language_model.layers.7.mlp.experts.114", "model.language_model.layers.7.mlp.experts.115", "model.language_model.layers.7.mlp.experts.116", "model.language_model.layers.7.mlp.experts.117", "model.language_model.layers.7.mlp.experts.118", "model.language_model.layers.7.mlp.experts.119", "model.language_model.layers.7.mlp.experts.120", "model.language_model.layers.7.mlp.experts.121", "model.language_model.layers.7.mlp.experts.122", "model.language_model.layers.7.mlp.experts.123", "model.language_model.layers.7.mlp.experts.124", "model.language_model.layers.7.mlp.experts.125", "model.language_model.layers.7.mlp.experts.126", "model.language_model.layers.7.mlp.experts.127", "model.language_model.layers.7.mlp.experts.128", "model.language_model.layers.7.mlp.experts.129", "model.language_model.layers.7.mlp.experts.130", "model.language_model.layers.7.mlp.experts.131", "model.language_model.layers.7.mlp.experts.132", "model.language_model.layers.7.mlp.experts.133", "model.language_model.layers.7.mlp.experts.134", "model.language_model.layers.7.mlp.experts.135", "model.language_model.layers.7.mlp.experts.136", "model.language_model.layers.7.mlp.experts.137", "model.language_model.layers.7.mlp.experts.138", "model.language_model.layers.7.mlp.experts.139", "model.language_model.layers.7.mlp.experts.140", "model.language_model.layers.7.mlp.experts.141", "model.language_model.layers.7.mlp.experts.142", "model.language_model.layers.7.mlp.experts.143", "model.language_model.layers.7.mlp.experts.144", "model.language_model.layers.7.mlp.experts.145", "model.language_model.layers.7.mlp.experts.146", "model.language_model.layers.7.mlp.experts.147", "model.language_model.layers.7.mlp.experts.148", "model.language_model.layers.7.mlp.experts.149", "model.language_model.layers.7.mlp.experts.150", "model.language_model.layers.7.mlp.experts.151", "model.language_model.layers.7.mlp.experts.152", "model.language_model.layers.7.mlp.experts.153", "model.language_model.layers.7.mlp.experts.154", "model.language_model.layers.7.mlp.experts.155", "model.language_model.layers.7.mlp.experts.156", "model.language_model.layers.7.mlp.experts.157", "model.language_model.layers.7.mlp.experts.158", "model.language_model.layers.7.mlp.experts.159", "model.language_model.layers.7.mlp.experts.160", "model.language_model.layers.7.mlp.experts.161", "model.language_model.layers.7.mlp.experts.162", "model.language_model.layers.7.mlp.experts.163", "model.language_model.layers.7.mlp.experts.164", "model.language_model.layers.7.mlp.experts.165", "model.language_model.layers.7.mlp.experts.166", "model.language_model.layers.7.mlp.experts.167", "model.language_model.layers.7.mlp.experts.168", "model.language_model.layers.7.mlp.experts.169", "model.language_model.layers.7.mlp.experts.170", "model.language_model.layers.7.mlp.experts.171", "model.language_model.layers.7.mlp.experts.172", "model.language_model.layers.7.mlp.experts.173", "model.language_model.layers.7.mlp.experts.174", "model.language_model.layers.7.mlp.experts.175", "model.language_model.layers.7.mlp.experts.176", "model.language_model.layers.7.mlp.experts.177", "model.language_model.layers.7.mlp.experts.178", "model.language_model.layers.7.mlp.experts.179", "model.language_model.layers.7.mlp.experts.180", "model.language_model.layers.7.mlp.experts.181", "model.language_model.layers.7.mlp.experts.182", "model.language_model.layers.7.mlp.experts.183", "model.language_model.layers.7.mlp.experts.184", "model.language_model.layers.7.mlp.experts.185", "model.language_model.layers.7.mlp.experts.186", "model.language_model.layers.7.mlp.experts.187", "model.language_model.layers.7.mlp.experts.188", "model.language_model.layers.7.mlp.experts.189", "model.language_model.layers.7.mlp.experts.190", "model.language_model.layers.7.mlp.experts.191", "model.language_model.layers.7.mlp.experts.192", "model.language_model.layers.7.mlp.experts.193", "model.language_model.layers.7.mlp.experts.194", "model.language_model.layers.7.mlp.experts.195", "model.language_model.layers.7.mlp.experts.196", "model.language_model.layers.7.mlp.experts.197", "model.language_model.layers.7.mlp.experts.198", "model.language_model.layers.7.mlp.experts.199", "model.language_model.layers.7.mlp.experts.200", "model.language_model.layers.7.mlp.experts.201", "model.language_model.layers.7.mlp.experts.202", "model.language_model.layers.7.mlp.experts.203", "model.language_model.layers.7.mlp.experts.204", "model.language_model.layers.7.mlp.experts.205", "model.language_model.layers.7.mlp.experts.206", "model.language_model.layers.7.mlp.experts.207", "model.language_model.layers.7.mlp.experts.208", "model.language_model.layers.7.mlp.experts.209", "model.language_model.layers.7.mlp.experts.210", "model.language_model.layers.7.mlp.experts.211", "model.language_model.layers.7.mlp.experts.212", "model.language_model.layers.7.mlp.experts.213", "model.language_model.layers.7.mlp.experts.214", "model.language_model.layers.7.mlp.experts.215", "model.language_model.layers.7.mlp.experts.216", "model.language_model.layers.7.mlp.experts.217", "model.language_model.layers.7.mlp.experts.218", "model.language_model.layers.7.mlp.experts.219", "model.language_model.layers.7.mlp.experts.220", "model.language_model.layers.7.mlp.experts.221", "model.language_model.layers.7.mlp.experts.222", "model.language_model.layers.7.mlp.experts.223", "model.language_model.layers.7.mlp.experts.224", "model.language_model.layers.7.mlp.experts.225", "model.language_model.layers.7.mlp.experts.226", "model.language_model.layers.7.mlp.experts.227", "model.language_model.layers.7.mlp.experts.228", "model.language_model.layers.7.mlp.experts.229", "model.language_model.layers.7.mlp.experts.230", "model.language_model.layers.7.mlp.experts.231", "model.language_model.layers.7.mlp.experts.232", "model.language_model.layers.7.mlp.experts.233", "model.language_model.layers.7.mlp.experts.234", "model.language_model.layers.7.mlp.experts.235", "model.language_model.layers.7.mlp.experts.236", "model.language_model.layers.7.mlp.experts.237", "model.language_model.layers.7.mlp.experts.238", "model.language_model.layers.7.mlp.experts.239", "model.language_model.layers.7.mlp.experts.240", "model.language_model.layers.7.mlp.experts.241", "model.language_model.layers.7.mlp.experts.242", "model.language_model.layers.7.mlp.experts.243", "model.language_model.layers.7.mlp.experts.244", "model.language_model.layers.7.mlp.experts.245", "model.language_model.layers.7.mlp.experts.246", "model.language_model.layers.7.mlp.experts.247", "model.language_model.layers.7.mlp.experts.248", "model.language_model.layers.7.mlp.experts.249", "model.language_model.layers.7.mlp.experts.250", "model.language_model.layers.7.mlp.experts.251", "model.language_model.layers.7.mlp.experts.252", "model.language_model.layers.7.mlp.experts.253", "model.language_model.layers.7.mlp.experts.254", "model.language_model.layers.7.mlp.experts.255", "model.language_model.layers.7.mlp.shared_expert_gate", "model.language_model.layers.8.linear_attn", "model.language_model.layers.8.linear_attn.norm", "model.language_model.layers.8.linear_attn.in_proj_b", "model.language_model.layers.8.linear_attn.in_proj_a", "model.language_model.layers.8.mlp.gate", "model.language_model.layers.8.mlp.experts.0", "model.language_model.layers.8.mlp.experts.1", "model.language_model.layers.8.mlp.experts.2", "model.language_model.layers.8.mlp.experts.3", "model.language_model.layers.8.mlp.experts.4", "model.language_model.layers.8.mlp.experts.5", "model.language_model.layers.8.mlp.experts.6", "model.language_model.layers.8.mlp.experts.7", "model.language_model.layers.8.mlp.experts.8", "model.language_model.layers.8.mlp.experts.9", "model.language_model.layers.8.mlp.experts.10", "model.language_model.layers.8.mlp.experts.11", "model.language_model.layers.8.mlp.experts.12", "model.language_model.layers.8.mlp.experts.13", "model.language_model.layers.8.mlp.experts.14", "model.language_model.layers.8.mlp.experts.15", "model.language_model.layers.8.mlp.experts.16", "model.language_model.layers.8.mlp.experts.17", "model.language_model.layers.8.mlp.experts.18", "model.language_model.layers.8.mlp.experts.19", "model.language_model.layers.8.mlp.experts.20", "model.language_model.layers.8.mlp.experts.21", "model.language_model.layers.8.mlp.experts.22", "model.language_model.layers.8.mlp.experts.23", "model.language_model.layers.8.mlp.experts.24", "model.language_model.layers.8.mlp.experts.25", "model.language_model.layers.8.mlp.experts.26", "model.language_model.layers.8.mlp.experts.27", "model.language_model.layers.8.mlp.experts.28", "model.language_model.layers.8.mlp.experts.29", "model.language_model.layers.8.mlp.experts.30", "model.language_model.layers.8.mlp.experts.31", "model.language_model.layers.8.mlp.experts.32", "model.language_model.layers.8.mlp.experts.33", "model.language_model.layers.8.mlp.experts.34", "model.language_model.layers.8.mlp.experts.35", "model.language_model.layers.8.mlp.experts.36", "model.language_model.layers.8.mlp.experts.37", "model.language_model.layers.8.mlp.experts.38", "model.language_model.layers.8.mlp.experts.39", "model.language_model.layers.8.mlp.experts.40", "model.language_model.layers.8.mlp.experts.41", "model.language_model.layers.8.mlp.experts.42", "model.language_model.layers.8.mlp.experts.43", "model.language_model.layers.8.mlp.experts.44", "model.language_model.layers.8.mlp.experts.45", "model.language_model.layers.8.mlp.experts.46", "model.language_model.layers.8.mlp.experts.47", "model.language_model.layers.8.mlp.experts.48", "model.language_model.layers.8.mlp.experts.49", "model.language_model.layers.8.mlp.experts.50", "model.language_model.layers.8.mlp.experts.51", "model.language_model.layers.8.mlp.experts.52", "model.language_model.layers.8.mlp.experts.53", "model.language_model.layers.8.mlp.experts.54", "model.language_model.layers.8.mlp.experts.55", "model.language_model.layers.8.mlp.experts.56", "model.language_model.layers.8.mlp.experts.57", "model.language_model.layers.8.mlp.experts.58", "model.language_model.layers.8.mlp.experts.59", "model.language_model.layers.8.mlp.experts.60", "model.language_model.layers.8.mlp.experts.61", "model.language_model.layers.8.mlp.experts.62", "model.language_model.layers.8.mlp.experts.63", "model.language_model.layers.8.mlp.experts.64", "model.language_model.layers.8.mlp.experts.65", "model.language_model.layers.8.mlp.experts.66", "model.language_model.layers.8.mlp.experts.67", "model.language_model.layers.8.mlp.experts.68", "model.language_model.layers.8.mlp.experts.69", "model.language_model.layers.8.mlp.experts.70", "model.language_model.layers.8.mlp.experts.71", "model.language_model.layers.8.mlp.experts.72", "model.language_model.layers.8.mlp.experts.73", "model.language_model.layers.8.mlp.experts.74", "model.language_model.layers.8.mlp.experts.75", "model.language_model.layers.8.mlp.experts.76", "model.language_model.layers.8.mlp.experts.77", "model.language_model.layers.8.mlp.experts.78", "model.language_model.layers.8.mlp.experts.79", "model.language_model.layers.8.mlp.experts.80", "model.language_model.layers.8.mlp.experts.81", "model.language_model.layers.8.mlp.experts.82", "model.language_model.layers.8.mlp.experts.83", "model.language_model.layers.8.mlp.experts.84", "model.language_model.layers.8.mlp.experts.85", "model.language_model.layers.8.mlp.experts.86", "model.language_model.layers.8.mlp.experts.87", "model.language_model.layers.8.mlp.experts.88", "model.language_model.layers.8.mlp.experts.89", "model.language_model.layers.8.mlp.experts.90", "model.language_model.layers.8.mlp.experts.91", "model.language_model.layers.8.mlp.experts.92", "model.language_model.layers.8.mlp.experts.93", "model.language_model.layers.8.mlp.experts.94", "model.language_model.layers.8.mlp.experts.95", "model.language_model.layers.8.mlp.experts.96", "model.language_model.layers.8.mlp.experts.97", "model.language_model.layers.8.mlp.experts.98", "model.language_model.layers.8.mlp.experts.99", "model.language_model.layers.8.mlp.experts.100", "model.language_model.layers.8.mlp.experts.101", "model.language_model.layers.8.mlp.experts.102", "model.language_model.layers.8.mlp.experts.103", "model.language_model.layers.8.mlp.experts.104", "model.language_model.layers.8.mlp.experts.105", "model.language_model.layers.8.mlp.experts.106", "model.language_model.layers.8.mlp.experts.107", "model.language_model.layers.8.mlp.experts.108", "model.language_model.layers.8.mlp.experts.109", "model.language_model.layers.8.mlp.experts.110", "model.language_model.layers.8.mlp.experts.111", "model.language_model.layers.8.mlp.experts.112", "model.language_model.layers.8.mlp.experts.113", "model.language_model.layers.8.mlp.experts.114", "model.language_model.layers.8.mlp.experts.115", "model.language_model.layers.8.mlp.experts.116", "model.language_model.layers.8.mlp.experts.117", "model.language_model.layers.8.mlp.experts.118", "model.language_model.layers.8.mlp.experts.119", "model.language_model.layers.8.mlp.experts.120", "model.language_model.layers.8.mlp.experts.121", "model.language_model.layers.8.mlp.experts.122", "model.language_model.layers.8.mlp.experts.123", "model.language_model.layers.8.mlp.experts.124", "model.language_model.layers.8.mlp.experts.125", "model.language_model.layers.8.mlp.experts.126", "model.language_model.layers.8.mlp.experts.127", "model.language_model.layers.8.mlp.experts.128", "model.language_model.layers.8.mlp.experts.129", "model.language_model.layers.8.mlp.experts.130", "model.language_model.layers.8.mlp.experts.131", "model.language_model.layers.8.mlp.experts.132", "model.language_model.layers.8.mlp.experts.133", "model.language_model.layers.8.mlp.experts.134", "model.language_model.layers.8.mlp.experts.135", "model.language_model.layers.8.mlp.experts.136", "model.language_model.layers.8.mlp.experts.137", "model.language_model.layers.8.mlp.experts.138", "model.language_model.layers.8.mlp.experts.139", "model.language_model.layers.8.mlp.experts.140", "model.language_model.layers.8.mlp.experts.141", "model.language_model.layers.8.mlp.experts.142", "model.language_model.layers.8.mlp.experts.143", "model.language_model.layers.8.mlp.experts.144", "model.language_model.layers.8.mlp.experts.145", "model.language_model.layers.8.mlp.experts.146", "model.language_model.layers.8.mlp.experts.147", "model.language_model.layers.8.mlp.experts.148", "model.language_model.layers.8.mlp.experts.149", "model.language_model.layers.8.mlp.experts.150", "model.language_model.layers.8.mlp.experts.151", "model.language_model.layers.8.mlp.experts.152", "model.language_model.layers.8.mlp.experts.153", "model.language_model.layers.8.mlp.experts.154", "model.language_model.layers.8.mlp.experts.155", "model.language_model.layers.8.mlp.experts.156", "model.language_model.layers.8.mlp.experts.157", "model.language_model.layers.8.mlp.experts.158", "model.language_model.layers.8.mlp.experts.159", "model.language_model.layers.8.mlp.experts.160", "model.language_model.layers.8.mlp.experts.161", "model.language_model.layers.8.mlp.experts.162", "model.language_model.layers.8.mlp.experts.163", "model.language_model.layers.8.mlp.experts.164", "model.language_model.layers.8.mlp.experts.165", "model.language_model.layers.8.mlp.experts.166", "model.language_model.layers.8.mlp.experts.167", "model.language_model.layers.8.mlp.experts.168", "model.language_model.layers.8.mlp.experts.169", "model.language_model.layers.8.mlp.experts.170", "model.language_model.layers.8.mlp.experts.171", "model.language_model.layers.8.mlp.experts.172", "model.language_model.layers.8.mlp.experts.173", "model.language_model.layers.8.mlp.experts.174", "model.language_model.layers.8.mlp.experts.175", "model.language_model.layers.8.mlp.experts.176", "model.language_model.layers.8.mlp.experts.177", "model.language_model.layers.8.mlp.experts.178", "model.language_model.layers.8.mlp.experts.179", "model.language_model.layers.8.mlp.experts.180", "model.language_model.layers.8.mlp.experts.181", "model.language_model.layers.8.mlp.experts.182", "model.language_model.layers.8.mlp.experts.183", "model.language_model.layers.8.mlp.experts.184", "model.language_model.layers.8.mlp.experts.185", "model.language_model.layers.8.mlp.experts.186", "model.language_model.layers.8.mlp.experts.187", "model.language_model.layers.8.mlp.experts.188", "model.language_model.layers.8.mlp.experts.189", "model.language_model.layers.8.mlp.experts.190", "model.language_model.layers.8.mlp.experts.191", "model.language_model.layers.8.mlp.experts.192", "model.language_model.layers.8.mlp.experts.193", "model.language_model.layers.8.mlp.experts.194", "model.language_model.layers.8.mlp.experts.195", "model.language_model.layers.8.mlp.experts.196", "model.language_model.layers.8.mlp.experts.197", "model.language_model.layers.8.mlp.experts.198", "model.language_model.layers.8.mlp.experts.199", "model.language_model.layers.8.mlp.experts.200", "model.language_model.layers.8.mlp.experts.201", "model.language_model.layers.8.mlp.experts.202", "model.language_model.layers.8.mlp.experts.203", "model.language_model.layers.8.mlp.experts.204", "model.language_model.layers.8.mlp.experts.205", "model.language_model.layers.8.mlp.experts.206", "model.language_model.layers.8.mlp.experts.207", "model.language_model.layers.8.mlp.experts.208", "model.language_model.layers.8.mlp.experts.209", "model.language_model.layers.8.mlp.experts.210", "model.language_model.layers.8.mlp.experts.211", "model.language_model.layers.8.mlp.experts.212", "model.language_model.layers.8.mlp.experts.213", "model.language_model.layers.8.mlp.experts.214", "model.language_model.layers.8.mlp.experts.215", "model.language_model.layers.8.mlp.experts.216", "model.language_model.layers.8.mlp.experts.217", "model.language_model.layers.8.mlp.experts.218", "model.language_model.layers.8.mlp.experts.219", "model.language_model.layers.8.mlp.experts.220", "model.language_model.layers.8.mlp.experts.221", "model.language_model.layers.8.mlp.experts.222", "model.language_model.layers.8.mlp.experts.223", "model.language_model.layers.8.mlp.experts.224", "model.language_model.layers.8.mlp.experts.225", "model.language_model.layers.8.mlp.experts.226", "model.language_model.layers.8.mlp.experts.227", "model.language_model.layers.8.mlp.experts.228", "model.language_model.layers.8.mlp.experts.229", "model.language_model.layers.8.mlp.experts.230", "model.language_model.layers.8.mlp.experts.231", "model.language_model.layers.8.mlp.experts.232", "model.language_model.layers.8.mlp.experts.233", "model.language_model.layers.8.mlp.experts.234", "model.language_model.layers.8.mlp.experts.235", "model.language_model.layers.8.mlp.experts.236", "model.language_model.layers.8.mlp.experts.237", "model.language_model.layers.8.mlp.experts.238", "model.language_model.layers.8.mlp.experts.239", "model.language_model.layers.8.mlp.experts.240", "model.language_model.layers.8.mlp.experts.241", "model.language_model.layers.8.mlp.experts.242", "model.language_model.layers.8.mlp.experts.243", "model.language_model.layers.8.mlp.experts.244", "model.language_model.layers.8.mlp.experts.245", "model.language_model.layers.8.mlp.experts.246", "model.language_model.layers.8.mlp.experts.247", "model.language_model.layers.8.mlp.experts.248", "model.language_model.layers.8.mlp.experts.249", "model.language_model.layers.8.mlp.experts.250", "model.language_model.layers.8.mlp.experts.251", "model.language_model.layers.8.mlp.experts.252", "model.language_model.layers.8.mlp.experts.253", "model.language_model.layers.8.mlp.experts.254", "model.language_model.layers.8.mlp.experts.255", "model.language_model.layers.8.mlp.shared_expert_gate", "model.language_model.layers.9.linear_attn", "model.language_model.layers.9.linear_attn.norm", "model.language_model.layers.9.linear_attn.in_proj_b", "model.language_model.layers.9.linear_attn.in_proj_a", "model.language_model.layers.9.mlp.gate", "model.language_model.layers.9.mlp.experts.0", "model.language_model.layers.9.mlp.experts.1", "model.language_model.layers.9.mlp.experts.2", "model.language_model.layers.9.mlp.experts.3", "model.language_model.layers.9.mlp.experts.4", "model.language_model.layers.9.mlp.experts.5", "model.language_model.layers.9.mlp.experts.6", "model.language_model.layers.9.mlp.experts.7", "model.language_model.layers.9.mlp.experts.8", "model.language_model.layers.9.mlp.experts.9", "model.language_model.layers.9.mlp.experts.10", "model.language_model.layers.9.mlp.experts.11", "model.language_model.layers.9.mlp.experts.12", "model.language_model.layers.9.mlp.experts.13", "model.language_model.layers.9.mlp.experts.14", "model.language_model.layers.9.mlp.experts.15", "model.language_model.layers.9.mlp.experts.16", "model.language_model.layers.9.mlp.experts.17", "model.language_model.layers.9.mlp.experts.18", "model.language_model.layers.9.mlp.experts.19", "model.language_model.layers.9.mlp.experts.20", "model.language_model.layers.9.mlp.experts.21", "model.language_model.layers.9.mlp.experts.22", "model.language_model.layers.9.mlp.experts.23", "model.language_model.layers.9.mlp.experts.24", "model.language_model.layers.9.mlp.experts.25", "model.language_model.layers.9.mlp.experts.26", "model.language_model.layers.9.mlp.experts.27", "model.language_model.layers.9.mlp.experts.28", "model.language_model.layers.9.mlp.experts.29", "model.language_model.layers.9.mlp.experts.30", "model.language_model.layers.9.mlp.experts.31", "model.language_model.layers.9.mlp.experts.32", "model.language_model.layers.9.mlp.experts.33", "model.language_model.layers.9.mlp.experts.34", "model.language_model.layers.9.mlp.experts.35", "model.language_model.layers.9.mlp.experts.36", "model.language_model.layers.9.mlp.experts.37", "model.language_model.layers.9.mlp.experts.38", "model.language_model.layers.9.mlp.experts.39", "model.language_model.layers.9.mlp.experts.40", "model.language_model.layers.9.mlp.experts.41", "model.language_model.layers.9.mlp.experts.42", "model.language_model.layers.9.mlp.experts.43", "model.language_model.layers.9.mlp.experts.44", "model.language_model.layers.9.mlp.experts.45", "model.language_model.layers.9.mlp.experts.46", "model.language_model.layers.9.mlp.experts.47", "model.language_model.layers.9.mlp.experts.48", "model.language_model.layers.9.mlp.experts.49", "model.language_model.layers.9.mlp.experts.50", "model.language_model.layers.9.mlp.experts.51", "model.language_model.layers.9.mlp.experts.52", "model.language_model.layers.9.mlp.experts.53", "model.language_model.layers.9.mlp.experts.54", "model.language_model.layers.9.mlp.experts.55", "model.language_model.layers.9.mlp.experts.56", "model.language_model.layers.9.mlp.experts.57", "model.language_model.layers.9.mlp.experts.58", "model.language_model.layers.9.mlp.experts.59", "model.language_model.layers.9.mlp.experts.60", "model.language_model.layers.9.mlp.experts.61", "model.language_model.layers.9.mlp.experts.62", "model.language_model.layers.9.mlp.experts.63", "model.language_model.layers.9.mlp.experts.64", "model.language_model.layers.9.mlp.experts.65", "model.language_model.layers.9.mlp.experts.66", "model.language_model.layers.9.mlp.experts.67", "model.language_model.layers.9.mlp.experts.68", "model.language_model.layers.9.mlp.experts.69", "model.language_model.layers.9.mlp.experts.70", "model.language_model.layers.9.mlp.experts.71", "model.language_model.layers.9.mlp.experts.72", "model.language_model.layers.9.mlp.experts.73", "model.language_model.layers.9.mlp.experts.74", "model.language_model.layers.9.mlp.experts.75", "model.language_model.layers.9.mlp.experts.76", "model.language_model.layers.9.mlp.experts.77", "model.language_model.layers.9.mlp.experts.78", "model.language_model.layers.9.mlp.experts.79", "model.language_model.layers.9.mlp.experts.80", "model.language_model.layers.9.mlp.experts.81", "model.language_model.layers.9.mlp.experts.82", "model.language_model.layers.9.mlp.experts.83", "model.language_model.layers.9.mlp.experts.84", "model.language_model.layers.9.mlp.experts.85", "model.language_model.layers.9.mlp.experts.86", "model.language_model.layers.9.mlp.experts.87", "model.language_model.layers.9.mlp.experts.88", "model.language_model.layers.9.mlp.experts.89", "model.language_model.layers.9.mlp.experts.90", "model.language_model.layers.9.mlp.experts.91", "model.language_model.layers.9.mlp.experts.92", "model.language_model.layers.9.mlp.experts.93", "model.language_model.layers.9.mlp.experts.94", "model.language_model.layers.9.mlp.experts.95", "model.language_model.layers.9.mlp.experts.96", "model.language_model.layers.9.mlp.experts.97", "model.language_model.layers.9.mlp.experts.98", "model.language_model.layers.9.mlp.experts.99", "model.language_model.layers.9.mlp.experts.100", "model.language_model.layers.9.mlp.experts.101", "model.language_model.layers.9.mlp.experts.102", "model.language_model.layers.9.mlp.experts.103", "model.language_model.layers.9.mlp.experts.104", "model.language_model.layers.9.mlp.experts.105", "model.language_model.layers.9.mlp.experts.106", "model.language_model.layers.9.mlp.experts.107", "model.language_model.layers.9.mlp.experts.108", "model.language_model.layers.9.mlp.experts.109", "model.language_model.layers.9.mlp.experts.110", "model.language_model.layers.9.mlp.experts.111", "model.language_model.layers.9.mlp.experts.112", "model.language_model.layers.9.mlp.experts.113", "model.language_model.layers.9.mlp.experts.114", "model.language_model.layers.9.mlp.experts.115", "model.language_model.layers.9.mlp.experts.116", "model.language_model.layers.9.mlp.experts.117", "model.language_model.layers.9.mlp.experts.118", "model.language_model.layers.9.mlp.experts.119", "model.language_model.layers.9.mlp.experts.120", "model.language_model.layers.9.mlp.experts.121", "model.language_model.layers.9.mlp.experts.122", "model.language_model.layers.9.mlp.experts.123", "model.language_model.layers.9.mlp.experts.124", "model.language_model.layers.9.mlp.experts.125", "model.language_model.layers.9.mlp.experts.126", "model.language_model.layers.9.mlp.experts.127", "model.language_model.layers.9.mlp.experts.128", "model.language_model.layers.9.mlp.experts.129", "model.language_model.layers.9.mlp.experts.130", "model.language_model.layers.9.mlp.experts.131", "model.language_model.layers.9.mlp.experts.132", "model.language_model.layers.9.mlp.experts.133", "model.language_model.layers.9.mlp.experts.134", "model.language_model.layers.9.mlp.experts.135", "model.language_model.layers.9.mlp.experts.136", "model.language_model.layers.9.mlp.experts.137", "model.language_model.layers.9.mlp.experts.138", "model.language_model.layers.9.mlp.experts.139", "model.language_model.layers.9.mlp.experts.140", "model.language_model.layers.9.mlp.experts.141", "model.language_model.layers.9.mlp.experts.142", "model.language_model.layers.9.mlp.experts.143", "model.language_model.layers.9.mlp.experts.144", "model.language_model.layers.9.mlp.experts.145", "model.language_model.layers.9.mlp.experts.146", "model.language_model.layers.9.mlp.experts.147", "model.language_model.layers.9.mlp.experts.148", "model.language_model.layers.9.mlp.experts.149", "model.language_model.layers.9.mlp.experts.150", "model.language_model.layers.9.mlp.experts.151", "model.language_model.layers.9.mlp.experts.152", "model.language_model.layers.9.mlp.experts.153", "model.language_model.layers.9.mlp.experts.154", "model.language_model.layers.9.mlp.experts.155", "model.language_model.layers.9.mlp.experts.156", "model.language_model.layers.9.mlp.experts.157", "model.language_model.layers.9.mlp.experts.158", "model.language_model.layers.9.mlp.experts.159", "model.language_model.layers.9.mlp.experts.160", "model.language_model.layers.9.mlp.experts.161", "model.language_model.layers.9.mlp.experts.162", "model.language_model.layers.9.mlp.experts.163", "model.language_model.layers.9.mlp.experts.164", "model.language_model.layers.9.mlp.experts.165", "model.language_model.layers.9.mlp.experts.166", "model.language_model.layers.9.mlp.experts.167", "model.language_model.layers.9.mlp.experts.168", "model.language_model.layers.9.mlp.experts.169", "model.language_model.layers.9.mlp.experts.170", "model.language_model.layers.9.mlp.experts.171", "model.language_model.layers.9.mlp.experts.172", "model.language_model.layers.9.mlp.experts.173", "model.language_model.layers.9.mlp.experts.174", "model.language_model.layers.9.mlp.experts.175", "model.language_model.layers.9.mlp.experts.176", "model.language_model.layers.9.mlp.experts.177", "model.language_model.layers.9.mlp.experts.178", "model.language_model.layers.9.mlp.experts.179", "model.language_model.layers.9.mlp.experts.180", "model.language_model.layers.9.mlp.experts.181", "model.language_model.layers.9.mlp.experts.182", "model.language_model.layers.9.mlp.experts.183", "model.language_model.layers.9.mlp.experts.184", "model.language_model.layers.9.mlp.experts.185", "model.language_model.layers.9.mlp.experts.186", "model.language_model.layers.9.mlp.experts.187", "model.language_model.layers.9.mlp.experts.188", "model.language_model.layers.9.mlp.experts.189", "model.language_model.layers.9.mlp.experts.190", "model.language_model.layers.9.mlp.experts.191", "model.language_model.layers.9.mlp.experts.192", "model.language_model.layers.9.mlp.experts.193", "model.language_model.layers.9.mlp.experts.194", "model.language_model.layers.9.mlp.experts.195", "model.language_model.layers.9.mlp.experts.196", "model.language_model.layers.9.mlp.experts.197", "model.language_model.layers.9.mlp.experts.198", "model.language_model.layers.9.mlp.experts.199", "model.language_model.layers.9.mlp.experts.200", "model.language_model.layers.9.mlp.experts.201", "model.language_model.layers.9.mlp.experts.202", "model.language_model.layers.9.mlp.experts.203", "model.language_model.layers.9.mlp.experts.204", "model.language_model.layers.9.mlp.experts.205", "model.language_model.layers.9.mlp.experts.206", "model.language_model.layers.9.mlp.experts.207", "model.language_model.layers.9.mlp.experts.208", "model.language_model.layers.9.mlp.experts.209", "model.language_model.layers.9.mlp.experts.210", "model.language_model.layers.9.mlp.experts.211", "model.language_model.layers.9.mlp.experts.212", "model.language_model.layers.9.mlp.experts.213", "model.language_model.layers.9.mlp.experts.214", "model.language_model.layers.9.mlp.experts.215", "model.language_model.layers.9.mlp.experts.216", "model.language_model.layers.9.mlp.experts.217", "model.language_model.layers.9.mlp.experts.218", "model.language_model.layers.9.mlp.experts.219", "model.language_model.layers.9.mlp.experts.220", "model.language_model.layers.9.mlp.experts.221", "model.language_model.layers.9.mlp.experts.222", "model.language_model.layers.9.mlp.experts.223", "model.language_model.layers.9.mlp.experts.224", "model.language_model.layers.9.mlp.experts.225", "model.language_model.layers.9.mlp.experts.226", "model.language_model.layers.9.mlp.experts.227", "model.language_model.layers.9.mlp.experts.228", "model.language_model.layers.9.mlp.experts.229", "model.language_model.layers.9.mlp.experts.230", "model.language_model.layers.9.mlp.experts.231", "model.language_model.layers.9.mlp.experts.232", "model.language_model.layers.9.mlp.experts.233", "model.language_model.layers.9.mlp.experts.234", "model.language_model.layers.9.mlp.experts.235", "model.language_model.layers.9.mlp.experts.236", "model.language_model.layers.9.mlp.experts.237", "model.language_model.layers.9.mlp.experts.238", "model.language_model.layers.9.mlp.experts.239", "model.language_model.layers.9.mlp.experts.240", "model.language_model.layers.9.mlp.experts.241", "model.language_model.layers.9.mlp.experts.242", "model.language_model.layers.9.mlp.experts.243", "model.language_model.layers.9.mlp.experts.244", "model.language_model.layers.9.mlp.experts.245", "model.language_model.layers.9.mlp.experts.246", "model.language_model.layers.9.mlp.experts.247", "model.language_model.layers.9.mlp.experts.248", "model.language_model.layers.9.mlp.experts.249", "model.language_model.layers.9.mlp.experts.250", "model.language_model.layers.9.mlp.experts.251", "model.language_model.layers.9.mlp.experts.252", "model.language_model.layers.9.mlp.experts.253", "model.language_model.layers.9.mlp.experts.254", "model.language_model.layers.9.mlp.experts.255", "model.language_model.layers.9.mlp.shared_expert_gate", "model.language_model.layers.10.linear_attn", "model.language_model.layers.10.linear_attn.norm", "model.language_model.layers.10.linear_attn.in_proj_b", "model.language_model.layers.10.linear_attn.in_proj_a", "model.language_model.layers.10.mlp.gate", "model.language_model.layers.10.mlp.experts.0", "model.language_model.layers.10.mlp.experts.1", "model.language_model.layers.10.mlp.experts.2", "model.language_model.layers.10.mlp.experts.3", "model.language_model.layers.10.mlp.experts.4", "model.language_model.layers.10.mlp.experts.5", "model.language_model.layers.10.mlp.experts.6", "model.language_model.layers.10.mlp.experts.7", "model.language_model.layers.10.mlp.experts.8", "model.language_model.layers.10.mlp.experts.9", "model.language_model.layers.10.mlp.experts.10", "model.language_model.layers.10.mlp.experts.11", "model.language_model.layers.10.mlp.experts.12", "model.language_model.layers.10.mlp.experts.13", "model.language_model.layers.10.mlp.experts.14", "model.language_model.layers.10.mlp.experts.15", "model.language_model.layers.10.mlp.experts.16", "model.language_model.layers.10.mlp.experts.17", "model.language_model.layers.10.mlp.experts.18", "model.language_model.layers.10.mlp.experts.19", "model.language_model.layers.10.mlp.experts.20", "model.language_model.layers.10.mlp.experts.21", "model.language_model.layers.10.mlp.experts.22", "model.language_model.layers.10.mlp.experts.23", "model.language_model.layers.10.mlp.experts.24", "model.language_model.layers.10.mlp.experts.25", "model.language_model.layers.10.mlp.experts.26", "model.language_model.layers.10.mlp.experts.27", "model.language_model.layers.10.mlp.experts.28", "model.language_model.layers.10.mlp.experts.29", "model.language_model.layers.10.mlp.experts.30", "model.language_model.layers.10.mlp.experts.31", "model.language_model.layers.10.mlp.experts.32", "model.language_model.layers.10.mlp.experts.33", "model.language_model.layers.10.mlp.experts.34", "model.language_model.layers.10.mlp.experts.35", "model.language_model.layers.10.mlp.experts.36", "model.language_model.layers.10.mlp.experts.37", "model.language_model.layers.10.mlp.experts.38", "model.language_model.layers.10.mlp.experts.39", "model.language_model.layers.10.mlp.experts.40", "model.language_model.layers.10.mlp.experts.41", "model.language_model.layers.10.mlp.experts.42", "model.language_model.layers.10.mlp.experts.43", "model.language_model.layers.10.mlp.experts.44", "model.language_model.layers.10.mlp.experts.45", "model.language_model.layers.10.mlp.experts.46", "model.language_model.layers.10.mlp.experts.47", "model.language_model.layers.10.mlp.experts.48", "model.language_model.layers.10.mlp.experts.49", "model.language_model.layers.10.mlp.experts.50", "model.language_model.layers.10.mlp.experts.51", "model.language_model.layers.10.mlp.experts.52", "model.language_model.layers.10.mlp.experts.53", "model.language_model.layers.10.mlp.experts.54", "model.language_model.layers.10.mlp.experts.55", "model.language_model.layers.10.mlp.experts.56", "model.language_model.layers.10.mlp.experts.57", "model.language_model.layers.10.mlp.experts.58", "model.language_model.layers.10.mlp.experts.59", "model.language_model.layers.10.mlp.experts.60", "model.language_model.layers.10.mlp.experts.61", "model.language_model.layers.10.mlp.experts.62", "model.language_model.layers.10.mlp.experts.63", "model.language_model.layers.10.mlp.experts.64", "model.language_model.layers.10.mlp.experts.65", "model.language_model.layers.10.mlp.experts.66", "model.language_model.layers.10.mlp.experts.67", "model.language_model.layers.10.mlp.experts.68", "model.language_model.layers.10.mlp.experts.69", "model.language_model.layers.10.mlp.experts.70", "model.language_model.layers.10.mlp.experts.71", "model.language_model.layers.10.mlp.experts.72", "model.language_model.layers.10.mlp.experts.73", "model.language_model.layers.10.mlp.experts.74", "model.language_model.layers.10.mlp.experts.75", "model.language_model.layers.10.mlp.experts.76", "model.language_model.layers.10.mlp.experts.77", "model.language_model.layers.10.mlp.experts.78", "model.language_model.layers.10.mlp.experts.79", "model.language_model.layers.10.mlp.experts.80", "model.language_model.layers.10.mlp.experts.81", "model.language_model.layers.10.mlp.experts.82", "model.language_model.layers.10.mlp.experts.83", "model.language_model.layers.10.mlp.experts.84", "model.language_model.layers.10.mlp.experts.85", "model.language_model.layers.10.mlp.experts.86", "model.language_model.layers.10.mlp.experts.87", "model.language_model.layers.10.mlp.experts.88", "model.language_model.layers.10.mlp.experts.89", "model.language_model.layers.10.mlp.experts.90", "model.language_model.layers.10.mlp.experts.91", "model.language_model.layers.10.mlp.experts.92", "model.language_model.layers.10.mlp.experts.93", "model.language_model.layers.10.mlp.experts.94", "model.language_model.layers.10.mlp.experts.95", "model.language_model.layers.10.mlp.experts.96", "model.language_model.layers.10.mlp.experts.97", "model.language_model.layers.10.mlp.experts.98", "model.language_model.layers.10.mlp.experts.99", "model.language_model.layers.10.mlp.experts.100", "model.language_model.layers.10.mlp.experts.101", "model.language_model.layers.10.mlp.experts.102", "model.language_model.layers.10.mlp.experts.103", "model.language_model.layers.10.mlp.experts.104", "model.language_model.layers.10.mlp.experts.105", "model.language_model.layers.10.mlp.experts.106", "model.language_model.layers.10.mlp.experts.107", "model.language_model.layers.10.mlp.experts.108", "model.language_model.layers.10.mlp.experts.109", "model.language_model.layers.10.mlp.experts.110", "model.language_model.layers.10.mlp.experts.111", "model.language_model.layers.10.mlp.experts.112", "model.language_model.layers.10.mlp.experts.113", "model.language_model.layers.10.mlp.experts.114", "model.language_model.layers.10.mlp.experts.115", "model.language_model.layers.10.mlp.experts.116", "model.language_model.layers.10.mlp.experts.117", "model.language_model.layers.10.mlp.experts.118", "model.language_model.layers.10.mlp.experts.119", "model.language_model.layers.10.mlp.experts.120", "model.language_model.layers.10.mlp.experts.121", "model.language_model.layers.10.mlp.experts.122", "model.language_model.layers.10.mlp.experts.123", "model.language_model.layers.10.mlp.experts.124", "model.language_model.layers.10.mlp.experts.125", "model.language_model.layers.10.mlp.experts.126", "model.language_model.layers.10.mlp.experts.127", "model.language_model.layers.10.mlp.experts.128", "model.language_model.layers.10.mlp.experts.129", "model.language_model.layers.10.mlp.experts.130", "model.language_model.layers.10.mlp.experts.131", "model.language_model.layers.10.mlp.experts.132", "model.language_model.layers.10.mlp.experts.133", "model.language_model.layers.10.mlp.experts.134", "model.language_model.layers.10.mlp.experts.135", "model.language_model.layers.10.mlp.experts.136", "model.language_model.layers.10.mlp.experts.137", "model.language_model.layers.10.mlp.experts.138", "model.language_model.layers.10.mlp.experts.139", "model.language_model.layers.10.mlp.experts.140", "model.language_model.layers.10.mlp.experts.141", "model.language_model.layers.10.mlp.experts.142", "model.language_model.layers.10.mlp.experts.143", "model.language_model.layers.10.mlp.experts.144", "model.language_model.layers.10.mlp.experts.145", "model.language_model.layers.10.mlp.experts.146", "model.language_model.layers.10.mlp.experts.147", "model.language_model.layers.10.mlp.experts.148", "model.language_model.layers.10.mlp.experts.149", "model.language_model.layers.10.mlp.experts.150", "model.language_model.layers.10.mlp.experts.151", "model.language_model.layers.10.mlp.experts.152", "model.language_model.layers.10.mlp.experts.153", "model.language_model.layers.10.mlp.experts.154", "model.language_model.layers.10.mlp.experts.155", "model.language_model.layers.10.mlp.experts.156", "model.language_model.layers.10.mlp.experts.157", "model.language_model.layers.10.mlp.experts.158", "model.language_model.layers.10.mlp.experts.159", "model.language_model.layers.10.mlp.experts.160", "model.language_model.layers.10.mlp.experts.161", "model.language_model.layers.10.mlp.experts.162", "model.language_model.layers.10.mlp.experts.163", "model.language_model.layers.10.mlp.experts.164", "model.language_model.layers.10.mlp.experts.165", "model.language_model.layers.10.mlp.experts.166", "model.language_model.layers.10.mlp.experts.167", "model.language_model.layers.10.mlp.experts.168", "model.language_model.layers.10.mlp.experts.169", "model.language_model.layers.10.mlp.experts.170", "model.language_model.layers.10.mlp.experts.171", "model.language_model.layers.10.mlp.experts.172", "model.language_model.layers.10.mlp.experts.173", "model.language_model.layers.10.mlp.experts.174", "model.language_model.layers.10.mlp.experts.175", "model.language_model.layers.10.mlp.experts.176", "model.language_model.layers.10.mlp.experts.177", "model.language_model.layers.10.mlp.experts.178", "model.language_model.layers.10.mlp.experts.179", "model.language_model.layers.10.mlp.experts.180", "model.language_model.layers.10.mlp.experts.181", "model.language_model.layers.10.mlp.experts.182", "model.language_model.layers.10.mlp.experts.183", "model.language_model.layers.10.mlp.experts.184", "model.language_model.layers.10.mlp.experts.185", "model.language_model.layers.10.mlp.experts.186", "model.language_model.layers.10.mlp.experts.187", "model.language_model.layers.10.mlp.experts.188", "model.language_model.layers.10.mlp.experts.189", "model.language_model.layers.10.mlp.experts.190", "model.language_model.layers.10.mlp.experts.191", "model.language_model.layers.10.mlp.experts.192", "model.language_model.layers.10.mlp.experts.193", "model.language_model.layers.10.mlp.experts.194", "model.language_model.layers.10.mlp.experts.195", "model.language_model.layers.10.mlp.experts.196", "model.language_model.layers.10.mlp.experts.197", "model.language_model.layers.10.mlp.experts.198", "model.language_model.layers.10.mlp.experts.199", "model.language_model.layers.10.mlp.experts.200", "model.language_model.layers.10.mlp.experts.201", "model.language_model.layers.10.mlp.experts.202", "model.language_model.layers.10.mlp.experts.203", "model.language_model.layers.10.mlp.experts.204", "model.language_model.layers.10.mlp.experts.205", "model.language_model.layers.10.mlp.experts.206", "model.language_model.layers.10.mlp.experts.207", "model.language_model.layers.10.mlp.experts.208", "model.language_model.layers.10.mlp.experts.209", "model.language_model.layers.10.mlp.experts.210", "model.language_model.layers.10.mlp.experts.211", "model.language_model.layers.10.mlp.experts.212", "model.language_model.layers.10.mlp.experts.213", "model.language_model.layers.10.mlp.experts.214", "model.language_model.layers.10.mlp.experts.215", "model.language_model.layers.10.mlp.experts.216", "model.language_model.layers.10.mlp.experts.217", "model.language_model.layers.10.mlp.experts.218", "model.language_model.layers.10.mlp.experts.219", "model.language_model.layers.10.mlp.experts.220", "model.language_model.layers.10.mlp.experts.221", "model.language_model.layers.10.mlp.experts.222", "model.language_model.layers.10.mlp.experts.223", "model.language_model.layers.10.mlp.experts.224", "model.language_model.layers.10.mlp.experts.225", "model.language_model.layers.10.mlp.experts.226", "model.language_model.layers.10.mlp.experts.227", "model.language_model.layers.10.mlp.experts.228", "model.language_model.layers.10.mlp.experts.229", "model.language_model.layers.10.mlp.experts.230", "model.language_model.layers.10.mlp.experts.231", "model.language_model.layers.10.mlp.experts.232", "model.language_model.layers.10.mlp.experts.233", "model.language_model.layers.10.mlp.experts.234", "model.language_model.layers.10.mlp.experts.235", "model.language_model.layers.10.mlp.experts.236", "model.language_model.layers.10.mlp.experts.237", "model.language_model.layers.10.mlp.experts.238", "model.language_model.layers.10.mlp.experts.239", "model.language_model.layers.10.mlp.experts.240", "model.language_model.layers.10.mlp.experts.241", "model.language_model.layers.10.mlp.experts.242", "model.language_model.layers.10.mlp.experts.243", "model.language_model.layers.10.mlp.experts.244", "model.language_model.layers.10.mlp.experts.245", "model.language_model.layers.10.mlp.experts.246", "model.language_model.layers.10.mlp.experts.247", "model.language_model.layers.10.mlp.experts.248", "model.language_model.layers.10.mlp.experts.249", "model.language_model.layers.10.mlp.experts.250", "model.language_model.layers.10.mlp.experts.251", "model.language_model.layers.10.mlp.experts.252", "model.language_model.layers.10.mlp.experts.253", "model.language_model.layers.10.mlp.experts.254", "model.language_model.layers.10.mlp.experts.255", "model.language_model.layers.10.mlp.shared_expert_gate", "model.language_model.layers.11.mlp.gate", "model.language_model.layers.11.mlp.experts.0", "model.language_model.layers.11.mlp.experts.1", "model.language_model.layers.11.mlp.experts.2", "model.language_model.layers.11.mlp.experts.3", "model.language_model.layers.11.mlp.experts.4", "model.language_model.layers.11.mlp.experts.5", "model.language_model.layers.11.mlp.experts.6", "model.language_model.layers.11.mlp.experts.7", "model.language_model.layers.11.mlp.experts.8", "model.language_model.layers.11.mlp.experts.9", "model.language_model.layers.11.mlp.experts.10", "model.language_model.layers.11.mlp.experts.11", "model.language_model.layers.11.mlp.experts.12", "model.language_model.layers.11.mlp.experts.13", "model.language_model.layers.11.mlp.experts.14", "model.language_model.layers.11.mlp.experts.15", "model.language_model.layers.11.mlp.experts.16", "model.language_model.layers.11.mlp.experts.17", "model.language_model.layers.11.mlp.experts.18", "model.language_model.layers.11.mlp.experts.19", "model.language_model.layers.11.mlp.experts.20", "model.language_model.layers.11.mlp.experts.21", "model.language_model.layers.11.mlp.experts.22", "model.language_model.layers.11.mlp.experts.23", "model.language_model.layers.11.mlp.experts.24", "model.language_model.layers.11.mlp.experts.25", "model.language_model.layers.11.mlp.experts.26", "model.language_model.layers.11.mlp.experts.27", "model.language_model.layers.11.mlp.experts.28", "model.language_model.layers.11.mlp.experts.29", "model.language_model.layers.11.mlp.experts.30", "model.language_model.layers.11.mlp.experts.31", "model.language_model.layers.11.mlp.experts.32", "model.language_model.layers.11.mlp.experts.33", "model.language_model.layers.11.mlp.experts.34", "model.language_model.layers.11.mlp.experts.35", "model.language_model.layers.11.mlp.experts.36", "model.language_model.layers.11.mlp.experts.37", "model.language_model.layers.11.mlp.experts.38", "model.language_model.layers.11.mlp.experts.39", "model.language_model.layers.11.mlp.experts.40", "model.language_model.layers.11.mlp.experts.41", "model.language_model.layers.11.mlp.experts.42", "model.language_model.layers.11.mlp.experts.43", "model.language_model.layers.11.mlp.experts.44", "model.language_model.layers.11.mlp.experts.45", "model.language_model.layers.11.mlp.experts.46", "model.language_model.layers.11.mlp.experts.47", "model.language_model.layers.11.mlp.experts.48", "model.language_model.layers.11.mlp.experts.49", "model.language_model.layers.11.mlp.experts.50", "model.language_model.layers.11.mlp.experts.51", "model.language_model.layers.11.mlp.experts.52", "model.language_model.layers.11.mlp.experts.53", "model.language_model.layers.11.mlp.experts.54", "model.language_model.layers.11.mlp.experts.55", "model.language_model.layers.11.mlp.experts.56", "model.language_model.layers.11.mlp.experts.57", "model.language_model.layers.11.mlp.experts.58", "model.language_model.layers.11.mlp.experts.59", "model.language_model.layers.11.mlp.experts.60", "model.language_model.layers.11.mlp.experts.61", "model.language_model.layers.11.mlp.experts.62", "model.language_model.layers.11.mlp.experts.63", "model.language_model.layers.11.mlp.experts.64", "model.language_model.layers.11.mlp.experts.65", "model.language_model.layers.11.mlp.experts.66", "model.language_model.layers.11.mlp.experts.67", "model.language_model.layers.11.mlp.experts.68", "model.language_model.layers.11.mlp.experts.69", "model.language_model.layers.11.mlp.experts.70", "model.language_model.layers.11.mlp.experts.71", "model.language_model.layers.11.mlp.experts.72", "model.language_model.layers.11.mlp.experts.73", "model.language_model.layers.11.mlp.experts.74", "model.language_model.layers.11.mlp.experts.75", "model.language_model.layers.11.mlp.experts.76", "model.language_model.layers.11.mlp.experts.77", "model.language_model.layers.11.mlp.experts.78", "model.language_model.layers.11.mlp.experts.79", "model.language_model.layers.11.mlp.experts.80", "model.language_model.layers.11.mlp.experts.81", "model.language_model.layers.11.mlp.experts.82", "model.language_model.layers.11.mlp.experts.83", "model.language_model.layers.11.mlp.experts.84", "model.language_model.layers.11.mlp.experts.85", "model.language_model.layers.11.mlp.experts.86", "model.language_model.layers.11.mlp.experts.87", "model.language_model.layers.11.mlp.experts.88", "model.language_model.layers.11.mlp.experts.89", "model.language_model.layers.11.mlp.experts.90", "model.language_model.layers.11.mlp.experts.91", "model.language_model.layers.11.mlp.experts.92", "model.language_model.layers.11.mlp.experts.93", "model.language_model.layers.11.mlp.experts.94", "model.language_model.layers.11.mlp.experts.95", "model.language_model.layers.11.mlp.experts.96", "model.language_model.layers.11.mlp.experts.97", "model.language_model.layers.11.mlp.experts.98", "model.language_model.layers.11.mlp.experts.99", "model.language_model.layers.11.mlp.experts.100", "model.language_model.layers.11.mlp.experts.101", "model.language_model.layers.11.mlp.experts.102", "model.language_model.layers.11.mlp.experts.103", "model.language_model.layers.11.mlp.experts.104", "model.language_model.layers.11.mlp.experts.105", "model.language_model.layers.11.mlp.experts.106", "model.language_model.layers.11.mlp.experts.107", "model.language_model.layers.11.mlp.experts.108", "model.language_model.layers.11.mlp.experts.109", "model.language_model.layers.11.mlp.experts.110", "model.language_model.layers.11.mlp.experts.111", "model.language_model.layers.11.mlp.experts.112", "model.language_model.layers.11.mlp.experts.113", "model.language_model.layers.11.mlp.experts.114", "model.language_model.layers.11.mlp.experts.115", "model.language_model.layers.11.mlp.experts.116", "model.language_model.layers.11.mlp.experts.117", "model.language_model.layers.11.mlp.experts.118", "model.language_model.layers.11.mlp.experts.119", "model.language_model.layers.11.mlp.experts.120", "model.language_model.layers.11.mlp.experts.121", "model.language_model.layers.11.mlp.experts.122", "model.language_model.layers.11.mlp.experts.123", "model.language_model.layers.11.mlp.experts.124", "model.language_model.layers.11.mlp.experts.125", "model.language_model.layers.11.mlp.experts.126", "model.language_model.layers.11.mlp.experts.127", "model.language_model.layers.11.mlp.experts.128", "model.language_model.layers.11.mlp.experts.129", "model.language_model.layers.11.mlp.experts.130", "model.language_model.layers.11.mlp.experts.131", "model.language_model.layers.11.mlp.experts.132", "model.language_model.layers.11.mlp.experts.133", "model.language_model.layers.11.mlp.experts.134", "model.language_model.layers.11.mlp.experts.135", "model.language_model.layers.11.mlp.experts.136", "model.language_model.layers.11.mlp.experts.137", "model.language_model.layers.11.mlp.experts.138", "model.language_model.layers.11.mlp.experts.139", "model.language_model.layers.11.mlp.experts.140", "model.language_model.layers.11.mlp.experts.141", "model.language_model.layers.11.mlp.experts.142", "model.language_model.layers.11.mlp.experts.143", "model.language_model.layers.11.mlp.experts.144", "model.language_model.layers.11.mlp.experts.145", "model.language_model.layers.11.mlp.experts.146", "model.language_model.layers.11.mlp.experts.147", "model.language_model.layers.11.mlp.experts.148", "model.language_model.layers.11.mlp.experts.149", "model.language_model.layers.11.mlp.experts.150", "model.language_model.layers.11.mlp.experts.151", "model.language_model.layers.11.mlp.experts.152", "model.language_model.layers.11.mlp.experts.153", "model.language_model.layers.11.mlp.experts.154", "model.language_model.layers.11.mlp.experts.155", "model.language_model.layers.11.mlp.experts.156", "model.language_model.layers.11.mlp.experts.157", "model.language_model.layers.11.mlp.experts.158", "model.language_model.layers.11.mlp.experts.159", "model.language_model.layers.11.mlp.experts.160", "model.language_model.layers.11.mlp.experts.161", "model.language_model.layers.11.mlp.experts.162", "model.language_model.layers.11.mlp.experts.163", "model.language_model.layers.11.mlp.experts.164", "model.language_model.layers.11.mlp.experts.165", "model.language_model.layers.11.mlp.experts.166", "model.language_model.layers.11.mlp.experts.167", "model.language_model.layers.11.mlp.experts.168", "model.language_model.layers.11.mlp.experts.169", "model.language_model.layers.11.mlp.experts.170", "model.language_model.layers.11.mlp.experts.171", "model.language_model.layers.11.mlp.experts.172", "model.language_model.layers.11.mlp.experts.173", "model.language_model.layers.11.mlp.experts.174", "model.language_model.layers.11.mlp.experts.175", "model.language_model.layers.11.mlp.experts.176", "model.language_model.layers.11.mlp.experts.177", "model.language_model.layers.11.mlp.experts.178", "model.language_model.layers.11.mlp.experts.179", "model.language_model.layers.11.mlp.experts.180", "model.language_model.layers.11.mlp.experts.181", "model.language_model.layers.11.mlp.experts.182", "model.language_model.layers.11.mlp.experts.183", "model.language_model.layers.11.mlp.experts.184", "model.language_model.layers.11.mlp.experts.185", "model.language_model.layers.11.mlp.experts.186", "model.language_model.layers.11.mlp.experts.187", "model.language_model.layers.11.mlp.experts.188", "model.language_model.layers.11.mlp.experts.189", "model.language_model.layers.11.mlp.experts.190", "model.language_model.layers.11.mlp.experts.191", "model.language_model.layers.11.mlp.experts.192", "model.language_model.layers.11.mlp.experts.193", "model.language_model.layers.11.mlp.experts.194", "model.language_model.layers.11.mlp.experts.195", "model.language_model.layers.11.mlp.experts.196", "model.language_model.layers.11.mlp.experts.197", "model.language_model.layers.11.mlp.experts.198", "model.language_model.layers.11.mlp.experts.199", "model.language_model.layers.11.mlp.experts.200", "model.language_model.layers.11.mlp.experts.201", "model.language_model.layers.11.mlp.experts.202", "model.language_model.layers.11.mlp.experts.203", "model.language_model.layers.11.mlp.experts.204", "model.language_model.layers.11.mlp.experts.205", "model.language_model.layers.11.mlp.experts.206", "model.language_model.layers.11.mlp.experts.207", "model.language_model.layers.11.mlp.experts.208", "model.language_model.layers.11.mlp.experts.209", "model.language_model.layers.11.mlp.experts.210", "model.language_model.layers.11.mlp.experts.211", "model.language_model.layers.11.mlp.experts.212", "model.language_model.layers.11.mlp.experts.213", "model.language_model.layers.11.mlp.experts.214", "model.language_model.layers.11.mlp.experts.215", "model.language_model.layers.11.mlp.experts.216", "model.language_model.layers.11.mlp.experts.217", "model.language_model.layers.11.mlp.experts.218", "model.language_model.layers.11.mlp.experts.219", "model.language_model.layers.11.mlp.experts.220", "model.language_model.layers.11.mlp.experts.221", "model.language_model.layers.11.mlp.experts.222", "model.language_model.layers.11.mlp.experts.223", "model.language_model.layers.11.mlp.experts.224", "model.language_model.layers.11.mlp.experts.225", "model.language_model.layers.11.mlp.experts.226", "model.language_model.layers.11.mlp.experts.227", "model.language_model.layers.11.mlp.experts.228", "model.language_model.layers.11.mlp.experts.229", "model.language_model.layers.11.mlp.experts.230", "model.language_model.layers.11.mlp.experts.231", "model.language_model.layers.11.mlp.experts.232", "model.language_model.layers.11.mlp.experts.233", "model.language_model.layers.11.mlp.experts.234", "model.language_model.layers.11.mlp.experts.235", "model.language_model.layers.11.mlp.experts.236", "model.language_model.layers.11.mlp.experts.237", "model.language_model.layers.11.mlp.experts.238", "model.language_model.layers.11.mlp.experts.239", "model.language_model.layers.11.mlp.experts.240", "model.language_model.layers.11.mlp.experts.241", "model.language_model.layers.11.mlp.experts.242", "model.language_model.layers.11.mlp.experts.243", "model.language_model.layers.11.mlp.experts.244", "model.language_model.layers.11.mlp.experts.245", "model.language_model.layers.11.mlp.experts.246", "model.language_model.layers.11.mlp.experts.247", "model.language_model.layers.11.mlp.experts.248", "model.language_model.layers.11.mlp.experts.249", "model.language_model.layers.11.mlp.experts.250", "model.language_model.layers.11.mlp.experts.251", "model.language_model.layers.11.mlp.experts.252", "model.language_model.layers.11.mlp.experts.253", "model.language_model.layers.11.mlp.experts.254", "model.language_model.layers.11.mlp.experts.255", "model.language_model.layers.11.mlp.shared_expert_gate", "model.language_model.layers.12.linear_attn", "model.language_model.layers.12.linear_attn.norm", "model.language_model.layers.12.linear_attn.in_proj_b", "model.language_model.layers.12.linear_attn.in_proj_a", "model.language_model.layers.12.mlp.gate", "model.language_model.layers.12.mlp.experts.0", "model.language_model.layers.12.mlp.experts.1", "model.language_model.layers.12.mlp.experts.2", "model.language_model.layers.12.mlp.experts.3", "model.language_model.layers.12.mlp.experts.4", "model.language_model.layers.12.mlp.experts.5", "model.language_model.layers.12.mlp.experts.6", "model.language_model.layers.12.mlp.experts.7", "model.language_model.layers.12.mlp.experts.8", "model.language_model.layers.12.mlp.experts.9", "model.language_model.layers.12.mlp.experts.10", "model.language_model.layers.12.mlp.experts.11", "model.language_model.layers.12.mlp.experts.12", "model.language_model.layers.12.mlp.experts.13", "model.language_model.layers.12.mlp.experts.14", "model.language_model.layers.12.mlp.experts.15", "model.language_model.layers.12.mlp.experts.16", "model.language_model.layers.12.mlp.experts.17", "model.language_model.layers.12.mlp.experts.18", "model.language_model.layers.12.mlp.experts.19", "model.language_model.layers.12.mlp.experts.20", "model.language_model.layers.12.mlp.experts.21", "model.language_model.layers.12.mlp.experts.22", "model.language_model.layers.12.mlp.experts.23", "model.language_model.layers.12.mlp.experts.24", "model.language_model.layers.12.mlp.experts.25", "model.language_model.layers.12.mlp.experts.26", "model.language_model.layers.12.mlp.experts.27", "model.language_model.layers.12.mlp.experts.28", "model.language_model.layers.12.mlp.experts.29", "model.language_model.layers.12.mlp.experts.30", "model.language_model.layers.12.mlp.experts.31", "model.language_model.layers.12.mlp.experts.32", "model.language_model.layers.12.mlp.experts.33", "model.language_model.layers.12.mlp.experts.34", "model.language_model.layers.12.mlp.experts.35", "model.language_model.layers.12.mlp.experts.36", "model.language_model.layers.12.mlp.experts.37", "model.language_model.layers.12.mlp.experts.38", "model.language_model.layers.12.mlp.experts.39", "model.language_model.layers.12.mlp.experts.40", "model.language_model.layers.12.mlp.experts.41", "model.language_model.layers.12.mlp.experts.42", "model.language_model.layers.12.mlp.experts.43", "model.language_model.layers.12.mlp.experts.44", "model.language_model.layers.12.mlp.experts.45", "model.language_model.layers.12.mlp.experts.46", "model.language_model.layers.12.mlp.experts.47", "model.language_model.layers.12.mlp.experts.48", "model.language_model.layers.12.mlp.experts.49", "model.language_model.layers.12.mlp.experts.50", "model.language_model.layers.12.mlp.experts.51", "model.language_model.layers.12.mlp.experts.52", "model.language_model.layers.12.mlp.experts.53", "model.language_model.layers.12.mlp.experts.54", "model.language_model.layers.12.mlp.experts.55", "model.language_model.layers.12.mlp.experts.56", "model.language_model.layers.12.mlp.experts.57", "model.language_model.layers.12.mlp.experts.58", "model.language_model.layers.12.mlp.experts.59", "model.language_model.layers.12.mlp.experts.60", "model.language_model.layers.12.mlp.experts.61", "model.language_model.layers.12.mlp.experts.62", "model.language_model.layers.12.mlp.experts.63", "model.language_model.layers.12.mlp.experts.64", "model.language_model.layers.12.mlp.experts.65", "model.language_model.layers.12.mlp.experts.66", "model.language_model.layers.12.mlp.experts.67", "model.language_model.layers.12.mlp.experts.68", "model.language_model.layers.12.mlp.experts.69", "model.language_model.layers.12.mlp.experts.70", "model.language_model.layers.12.mlp.experts.71", "model.language_model.layers.12.mlp.experts.72", "model.language_model.layers.12.mlp.experts.73", "model.language_model.layers.12.mlp.experts.74", "model.language_model.layers.12.mlp.experts.75", "model.language_model.layers.12.mlp.experts.76", "model.language_model.layers.12.mlp.experts.77", "model.language_model.layers.12.mlp.experts.78", "model.language_model.layers.12.mlp.experts.79", "model.language_model.layers.12.mlp.experts.80", "model.language_model.layers.12.mlp.experts.81", "model.language_model.layers.12.mlp.experts.82", "model.language_model.layers.12.mlp.experts.83", "model.language_model.layers.12.mlp.experts.84", "model.language_model.layers.12.mlp.experts.85", "model.language_model.layers.12.mlp.experts.86", "model.language_model.layers.12.mlp.experts.87", "model.language_model.layers.12.mlp.experts.88", "model.language_model.layers.12.mlp.experts.89", "model.language_model.layers.12.mlp.experts.90", "model.language_model.layers.12.mlp.experts.91", "model.language_model.layers.12.mlp.experts.92", "model.language_model.layers.12.mlp.experts.93", "model.language_model.layers.12.mlp.experts.94", "model.language_model.layers.12.mlp.experts.95", "model.language_model.layers.12.mlp.experts.96", "model.language_model.layers.12.mlp.experts.97", "model.language_model.layers.12.mlp.experts.98", "model.language_model.layers.12.mlp.experts.99", "model.language_model.layers.12.mlp.experts.100", "model.language_model.layers.12.mlp.experts.101", "model.language_model.layers.12.mlp.experts.102", "model.language_model.layers.12.mlp.experts.103", "model.language_model.layers.12.mlp.experts.104", "model.language_model.layers.12.mlp.experts.105", "model.language_model.layers.12.mlp.experts.106", "model.language_model.layers.12.mlp.experts.107", "model.language_model.layers.12.mlp.experts.108", "model.language_model.layers.12.mlp.experts.109", "model.language_model.layers.12.mlp.experts.110", "model.language_model.layers.12.mlp.experts.111", "model.language_model.layers.12.mlp.experts.112", "model.language_model.layers.12.mlp.experts.113", "model.language_model.layers.12.mlp.experts.114", "model.language_model.layers.12.mlp.experts.115", "model.language_model.layers.12.mlp.experts.116", "model.language_model.layers.12.mlp.experts.117", "model.language_model.layers.12.mlp.experts.118", "model.language_model.layers.12.mlp.experts.119", "model.language_model.layers.12.mlp.experts.120", "model.language_model.layers.12.mlp.experts.121", "model.language_model.layers.12.mlp.experts.122", "model.language_model.layers.12.mlp.experts.123", "model.language_model.layers.12.mlp.experts.124", "model.language_model.layers.12.mlp.experts.125", "model.language_model.layers.12.mlp.experts.126", "model.language_model.layers.12.mlp.experts.127", "model.language_model.layers.12.mlp.experts.128", "model.language_model.layers.12.mlp.experts.129", "model.language_model.layers.12.mlp.experts.130", "model.language_model.layers.12.mlp.experts.131", "model.language_model.layers.12.mlp.experts.132", "model.language_model.layers.12.mlp.experts.133", "model.language_model.layers.12.mlp.experts.134", "model.language_model.layers.12.mlp.experts.135", "model.language_model.layers.12.mlp.experts.136", "model.language_model.layers.12.mlp.experts.137", "model.language_model.layers.12.mlp.experts.138", "model.language_model.layers.12.mlp.experts.139", "model.language_model.layers.12.mlp.experts.140", "model.language_model.layers.12.mlp.experts.141", "model.language_model.layers.12.mlp.experts.142", "model.language_model.layers.12.mlp.experts.143", "model.language_model.layers.12.mlp.experts.144", "model.language_model.layers.12.mlp.experts.145", "model.language_model.layers.12.mlp.experts.146", "model.language_model.layers.12.mlp.experts.147", "model.language_model.layers.12.mlp.experts.148", "model.language_model.layers.12.mlp.experts.149", "model.language_model.layers.12.mlp.experts.150", "model.language_model.layers.12.mlp.experts.151", "model.language_model.layers.12.mlp.experts.152", "model.language_model.layers.12.mlp.experts.153", "model.language_model.layers.12.mlp.experts.154", "model.language_model.layers.12.mlp.experts.155", "model.language_model.layers.12.mlp.experts.156", "model.language_model.layers.12.mlp.experts.157", "model.language_model.layers.12.mlp.experts.158", "model.language_model.layers.12.mlp.experts.159", "model.language_model.layers.12.mlp.experts.160", "model.language_model.layers.12.mlp.experts.161", "model.language_model.layers.12.mlp.experts.162", "model.language_model.layers.12.mlp.experts.163", "model.language_model.layers.12.mlp.experts.164", "model.language_model.layers.12.mlp.experts.165", "model.language_model.layers.12.mlp.experts.166", "model.language_model.layers.12.mlp.experts.167", "model.language_model.layers.12.mlp.experts.168", "model.language_model.layers.12.mlp.experts.169", "model.language_model.layers.12.mlp.experts.170", "model.language_model.layers.12.mlp.experts.171", "model.language_model.layers.12.mlp.experts.172", "model.language_model.layers.12.mlp.experts.173", "model.language_model.layers.12.mlp.experts.174", "model.language_model.layers.12.mlp.experts.175", "model.language_model.layers.12.mlp.experts.176", "model.language_model.layers.12.mlp.experts.177", "model.language_model.layers.12.mlp.experts.178", "model.language_model.layers.12.mlp.experts.179", "model.language_model.layers.12.mlp.experts.180", "model.language_model.layers.12.mlp.experts.181", "model.language_model.layers.12.mlp.experts.182", "model.language_model.layers.12.mlp.experts.183", "model.language_model.layers.12.mlp.experts.184", "model.language_model.layers.12.mlp.experts.185", "model.language_model.layers.12.mlp.experts.186", "model.language_model.layers.12.mlp.experts.187", "model.language_model.layers.12.mlp.experts.188", "model.language_model.layers.12.mlp.experts.189", "model.language_model.layers.12.mlp.experts.190", "model.language_model.layers.12.mlp.experts.191", "model.language_model.layers.12.mlp.experts.192", "model.language_model.layers.12.mlp.experts.193", "model.language_model.layers.12.mlp.experts.194", "model.language_model.layers.12.mlp.experts.195", "model.language_model.layers.12.mlp.experts.196", "model.language_model.layers.12.mlp.experts.197", "model.language_model.layers.12.mlp.experts.198", "model.language_model.layers.12.mlp.experts.199", "model.language_model.layers.12.mlp.experts.200", "model.language_model.layers.12.mlp.experts.201", "model.language_model.layers.12.mlp.experts.202", "model.language_model.layers.12.mlp.experts.203", "model.language_model.layers.12.mlp.experts.204", "model.language_model.layers.12.mlp.experts.205", "model.language_model.layers.12.mlp.experts.206", "model.language_model.layers.12.mlp.experts.207", "model.language_model.layers.12.mlp.experts.208", "model.language_model.layers.12.mlp.experts.209", "model.language_model.layers.12.mlp.experts.210", "model.language_model.layers.12.mlp.experts.211", "model.language_model.layers.12.mlp.experts.212", "model.language_model.layers.12.mlp.experts.213", "model.language_model.layers.12.mlp.experts.214", "model.language_model.layers.12.mlp.experts.215", "model.language_model.layers.12.mlp.experts.216", "model.language_model.layers.12.mlp.experts.217", "model.language_model.layers.12.mlp.experts.218", "model.language_model.layers.12.mlp.experts.219", "model.language_model.layers.12.mlp.experts.220", "model.language_model.layers.12.mlp.experts.221", "model.language_model.layers.12.mlp.experts.222", "model.language_model.layers.12.mlp.experts.223", "model.language_model.layers.12.mlp.experts.224", "model.language_model.layers.12.mlp.experts.225", "model.language_model.layers.12.mlp.experts.226", "model.language_model.layers.12.mlp.experts.227", "model.language_model.layers.12.mlp.experts.228", "model.language_model.layers.12.mlp.experts.229", "model.language_model.layers.12.mlp.experts.230", "model.language_model.layers.12.mlp.experts.231", "model.language_model.layers.12.mlp.experts.232", "model.language_model.layers.12.mlp.experts.233", "model.language_model.layers.12.mlp.experts.234", "model.language_model.layers.12.mlp.experts.235", "model.language_model.layers.12.mlp.experts.236", "model.language_model.layers.12.mlp.experts.237", "model.language_model.layers.12.mlp.experts.238", "model.language_model.layers.12.mlp.experts.239", "model.language_model.layers.12.mlp.experts.240", "model.language_model.layers.12.mlp.experts.241", "model.language_model.layers.12.mlp.experts.242", "model.language_model.layers.12.mlp.experts.243", "model.language_model.layers.12.mlp.experts.244", "model.language_model.layers.12.mlp.experts.245", "model.language_model.layers.12.mlp.experts.246", "model.language_model.layers.12.mlp.experts.247", "model.language_model.layers.12.mlp.experts.248", "model.language_model.layers.12.mlp.experts.249", "model.language_model.layers.12.mlp.experts.250", "model.language_model.layers.12.mlp.experts.251", "model.language_model.layers.12.mlp.experts.252", "model.language_model.layers.12.mlp.experts.253", "model.language_model.layers.12.mlp.experts.254", "model.language_model.layers.12.mlp.experts.255", "model.language_model.layers.12.mlp.shared_expert_gate", "model.language_model.layers.13.linear_attn", "model.language_model.layers.13.linear_attn.norm", "model.language_model.layers.13.linear_attn.in_proj_b", "model.language_model.layers.13.linear_attn.in_proj_a", "model.language_model.layers.13.mlp.gate", "model.language_model.layers.13.mlp.experts.0", "model.language_model.layers.13.mlp.experts.1", "model.language_model.layers.13.mlp.experts.2", "model.language_model.layers.13.mlp.experts.3", "model.language_model.layers.13.mlp.experts.4", "model.language_model.layers.13.mlp.experts.5", "model.language_model.layers.13.mlp.experts.6", "model.language_model.layers.13.mlp.experts.7", "model.language_model.layers.13.mlp.experts.8", "model.language_model.layers.13.mlp.experts.9", "model.language_model.layers.13.mlp.experts.10", "model.language_model.layers.13.mlp.experts.11", "model.language_model.layers.13.mlp.experts.12", "model.language_model.layers.13.mlp.experts.13", "model.language_model.layers.13.mlp.experts.14", "model.language_model.layers.13.mlp.experts.15", "model.language_model.layers.13.mlp.experts.16", "model.language_model.layers.13.mlp.experts.17", "model.language_model.layers.13.mlp.experts.18", "model.language_model.layers.13.mlp.experts.19", "model.language_model.layers.13.mlp.experts.20", "model.language_model.layers.13.mlp.experts.21", "model.language_model.layers.13.mlp.experts.22", "model.language_model.layers.13.mlp.experts.23", "model.language_model.layers.13.mlp.experts.24", "model.language_model.layers.13.mlp.experts.25", "model.language_model.layers.13.mlp.experts.26", "model.language_model.layers.13.mlp.experts.27", "model.language_model.layers.13.mlp.experts.28", "model.language_model.layers.13.mlp.experts.29", "model.language_model.layers.13.mlp.experts.30", "model.language_model.layers.13.mlp.experts.31", "model.language_model.layers.13.mlp.experts.32", "model.language_model.layers.13.mlp.experts.33", "model.language_model.layers.13.mlp.experts.34", "model.language_model.layers.13.mlp.experts.35", "model.language_model.layers.13.mlp.experts.36", "model.language_model.layers.13.mlp.experts.37", "model.language_model.layers.13.mlp.experts.38", "model.language_model.layers.13.mlp.experts.39", "model.language_model.layers.13.mlp.experts.40", "model.language_model.layers.13.mlp.experts.41", "model.language_model.layers.13.mlp.experts.42", "model.language_model.layers.13.mlp.experts.43", "model.language_model.layers.13.mlp.experts.44", "model.language_model.layers.13.mlp.experts.45", "model.language_model.layers.13.mlp.experts.46", "model.language_model.layers.13.mlp.experts.47", "model.language_model.layers.13.mlp.experts.48", "model.language_model.layers.13.mlp.experts.49", "model.language_model.layers.13.mlp.experts.50", "model.language_model.layers.13.mlp.experts.51", "model.language_model.layers.13.mlp.experts.52", "model.language_model.layers.13.mlp.experts.53", "model.language_model.layers.13.mlp.experts.54", "model.language_model.layers.13.mlp.experts.55", "model.language_model.layers.13.mlp.experts.56", "model.language_model.layers.13.mlp.experts.57", "model.language_model.layers.13.mlp.experts.58", "model.language_model.layers.13.mlp.experts.59", "model.language_model.layers.13.mlp.experts.60", "model.language_model.layers.13.mlp.experts.61", "model.language_model.layers.13.mlp.experts.62", "model.language_model.layers.13.mlp.experts.63", "model.language_model.layers.13.mlp.experts.64", "model.language_model.layers.13.mlp.experts.65", "model.language_model.layers.13.mlp.experts.66", "model.language_model.layers.13.mlp.experts.67", "model.language_model.layers.13.mlp.experts.68", "model.language_model.layers.13.mlp.experts.69", "model.language_model.layers.13.mlp.experts.70", "model.language_model.layers.13.mlp.experts.71", "model.language_model.layers.13.mlp.experts.72", "model.language_model.layers.13.mlp.experts.73", "model.language_model.layers.13.mlp.experts.74", "model.language_model.layers.13.mlp.experts.75", "model.language_model.layers.13.mlp.experts.76", "model.language_model.layers.13.mlp.experts.77", "model.language_model.layers.13.mlp.experts.78", "model.language_model.layers.13.mlp.experts.79", "model.language_model.layers.13.mlp.experts.80", "model.language_model.layers.13.mlp.experts.81", "model.language_model.layers.13.mlp.experts.82", "model.language_model.layers.13.mlp.experts.83", "model.language_model.layers.13.mlp.experts.84", "model.language_model.layers.13.mlp.experts.85", "model.language_model.layers.13.mlp.experts.86", "model.language_model.layers.13.mlp.experts.87", "model.language_model.layers.13.mlp.experts.88", "model.language_model.layers.13.mlp.experts.89", "model.language_model.layers.13.mlp.experts.90", "model.language_model.layers.13.mlp.experts.91", "model.language_model.layers.13.mlp.experts.92", "model.language_model.layers.13.mlp.experts.93", "model.language_model.layers.13.mlp.experts.94", "model.language_model.layers.13.mlp.experts.95", "model.language_model.layers.13.mlp.experts.96", "model.language_model.layers.13.mlp.experts.97", "model.language_model.layers.13.mlp.experts.98", "model.language_model.layers.13.mlp.experts.99", "model.language_model.layers.13.mlp.experts.100", "model.language_model.layers.13.mlp.experts.101", "model.language_model.layers.13.mlp.experts.102", "model.language_model.layers.13.mlp.experts.103", "model.language_model.layers.13.mlp.experts.104", "model.language_model.layers.13.mlp.experts.105", "model.language_model.layers.13.mlp.experts.106", "model.language_model.layers.13.mlp.experts.107", "model.language_model.layers.13.mlp.experts.108", "model.language_model.layers.13.mlp.experts.109", "model.language_model.layers.13.mlp.experts.110", "model.language_model.layers.13.mlp.experts.111", "model.language_model.layers.13.mlp.experts.112", "model.language_model.layers.13.mlp.experts.113", "model.language_model.layers.13.mlp.experts.114", "model.language_model.layers.13.mlp.experts.115", "model.language_model.layers.13.mlp.experts.116", "model.language_model.layers.13.mlp.experts.117", "model.language_model.layers.13.mlp.experts.118", "model.language_model.layers.13.mlp.experts.119", "model.language_model.layers.13.mlp.experts.120", "model.language_model.layers.13.mlp.experts.121", "model.language_model.layers.13.mlp.experts.122", "model.language_model.layers.13.mlp.experts.123", "model.language_model.layers.13.mlp.experts.124", "model.language_model.layers.13.mlp.experts.125", "model.language_model.layers.13.mlp.experts.126", "model.language_model.layers.13.mlp.experts.127", "model.language_model.layers.13.mlp.experts.128", "model.language_model.layers.13.mlp.experts.129", "model.language_model.layers.13.mlp.experts.130", "model.language_model.layers.13.mlp.experts.131", "model.language_model.layers.13.mlp.experts.132", "model.language_model.layers.13.mlp.experts.133", "model.language_model.layers.13.mlp.experts.134", "model.language_model.layers.13.mlp.experts.135", "model.language_model.layers.13.mlp.experts.136", "model.language_model.layers.13.mlp.experts.137", "model.language_model.layers.13.mlp.experts.138", "model.language_model.layers.13.mlp.experts.139", "model.language_model.layers.13.mlp.experts.140", "model.language_model.layers.13.mlp.experts.141", "model.language_model.layers.13.mlp.experts.142", "model.language_model.layers.13.mlp.experts.143", "model.language_model.layers.13.mlp.experts.144", "model.language_model.layers.13.mlp.experts.145", "model.language_model.layers.13.mlp.experts.146", "model.language_model.layers.13.mlp.experts.147", "model.language_model.layers.13.mlp.experts.148", "model.language_model.layers.13.mlp.experts.149", "model.language_model.layers.13.mlp.experts.150", "model.language_model.layers.13.mlp.experts.151", "model.language_model.layers.13.mlp.experts.152", "model.language_model.layers.13.mlp.experts.153", "model.language_model.layers.13.mlp.experts.154", "model.language_model.layers.13.mlp.experts.155", "model.language_model.layers.13.mlp.experts.156", "model.language_model.layers.13.mlp.experts.157", "model.language_model.layers.13.mlp.experts.158", "model.language_model.layers.13.mlp.experts.159", "model.language_model.layers.13.mlp.experts.160", "model.language_model.layers.13.mlp.experts.161", "model.language_model.layers.13.mlp.experts.162", "model.language_model.layers.13.mlp.experts.163", "model.language_model.layers.13.mlp.experts.164", "model.language_model.layers.13.mlp.experts.165", "model.language_model.layers.13.mlp.experts.166", "model.language_model.layers.13.mlp.experts.167", "model.language_model.layers.13.mlp.experts.168", "model.language_model.layers.13.mlp.experts.169", "model.language_model.layers.13.mlp.experts.170", "model.language_model.layers.13.mlp.experts.171", "model.language_model.layers.13.mlp.experts.172", "model.language_model.layers.13.mlp.experts.173", "model.language_model.layers.13.mlp.experts.174", "model.language_model.layers.13.mlp.experts.175", "model.language_model.layers.13.mlp.experts.176", "model.language_model.layers.13.mlp.experts.177", "model.language_model.layers.13.mlp.experts.178", "model.language_model.layers.13.mlp.experts.179", "model.language_model.layers.13.mlp.experts.180", "model.language_model.layers.13.mlp.experts.181", "model.language_model.layers.13.mlp.experts.182", "model.language_model.layers.13.mlp.experts.183", "model.language_model.layers.13.mlp.experts.184", "model.language_model.layers.13.mlp.experts.185", "model.language_model.layers.13.mlp.experts.186", "model.language_model.layers.13.mlp.experts.187", "model.language_model.layers.13.mlp.experts.188", "model.language_model.layers.13.mlp.experts.189", "model.language_model.layers.13.mlp.experts.190", "model.language_model.layers.13.mlp.experts.191", "model.language_model.layers.13.mlp.experts.192", "model.language_model.layers.13.mlp.experts.193", "model.language_model.layers.13.mlp.experts.194", "model.language_model.layers.13.mlp.experts.195", "model.language_model.layers.13.mlp.experts.196", "model.language_model.layers.13.mlp.experts.197", "model.language_model.layers.13.mlp.experts.198", "model.language_model.layers.13.mlp.experts.199", "model.language_model.layers.13.mlp.experts.200", "model.language_model.layers.13.mlp.experts.201", "model.language_model.layers.13.mlp.experts.202", "model.language_model.layers.13.mlp.experts.203", "model.language_model.layers.13.mlp.experts.204", "model.language_model.layers.13.mlp.experts.205", "model.language_model.layers.13.mlp.experts.206", "model.language_model.layers.13.mlp.experts.207", "model.language_model.layers.13.mlp.experts.208", "model.language_model.layers.13.mlp.experts.209", "model.language_model.layers.13.mlp.experts.210", "model.language_model.layers.13.mlp.experts.211", "model.language_model.layers.13.mlp.experts.212", "model.language_model.layers.13.mlp.experts.213", "model.language_model.layers.13.mlp.experts.214", "model.language_model.layers.13.mlp.experts.215", "model.language_model.layers.13.mlp.experts.216", "model.language_model.layers.13.mlp.experts.217", "model.language_model.layers.13.mlp.experts.218", "model.language_model.layers.13.mlp.experts.219", "model.language_model.layers.13.mlp.experts.220", "model.language_model.layers.13.mlp.experts.221", "model.language_model.layers.13.mlp.experts.222", "model.language_model.layers.13.mlp.experts.223", "model.language_model.layers.13.mlp.experts.224", "model.language_model.layers.13.mlp.experts.225", "model.language_model.layers.13.mlp.experts.226", "model.language_model.layers.13.mlp.experts.227", "model.language_model.layers.13.mlp.experts.228", "model.language_model.layers.13.mlp.experts.229", "model.language_model.layers.13.mlp.experts.230", "model.language_model.layers.13.mlp.experts.231", "model.language_model.layers.13.mlp.experts.232", "model.language_model.layers.13.mlp.experts.233", "model.language_model.layers.13.mlp.experts.234", "model.language_model.layers.13.mlp.experts.235", "model.language_model.layers.13.mlp.experts.236", "model.language_model.layers.13.mlp.experts.237", "model.language_model.layers.13.mlp.experts.238", "model.language_model.layers.13.mlp.experts.239", "model.language_model.layers.13.mlp.experts.240", "model.language_model.layers.13.mlp.experts.241", "model.language_model.layers.13.mlp.experts.242", "model.language_model.layers.13.mlp.experts.243", "model.language_model.layers.13.mlp.experts.244", "model.language_model.layers.13.mlp.experts.245", "model.language_model.layers.13.mlp.experts.246", "model.language_model.layers.13.mlp.experts.247", "model.language_model.layers.13.mlp.experts.248", "model.language_model.layers.13.mlp.experts.249", "model.language_model.layers.13.mlp.experts.250", "model.language_model.layers.13.mlp.experts.251", "model.language_model.layers.13.mlp.experts.252", "model.language_model.layers.13.mlp.experts.253", "model.language_model.layers.13.mlp.experts.254", "model.language_model.layers.13.mlp.experts.255", "model.language_model.layers.13.mlp.shared_expert_gate", "model.language_model.layers.14.linear_attn", "model.language_model.layers.14.linear_attn.norm", "model.language_model.layers.14.linear_attn.in_proj_b", "model.language_model.layers.14.linear_attn.in_proj_a", "model.language_model.layers.14.mlp.gate", "model.language_model.layers.14.mlp.experts.0", "model.language_model.layers.14.mlp.experts.1", "model.language_model.layers.14.mlp.experts.2", "model.language_model.layers.14.mlp.experts.3", "model.language_model.layers.14.mlp.experts.4", "model.language_model.layers.14.mlp.experts.5", "model.language_model.layers.14.mlp.experts.6", "model.language_model.layers.14.mlp.experts.7", "model.language_model.layers.14.mlp.experts.8", "model.language_model.layers.14.mlp.experts.9", "model.language_model.layers.14.mlp.experts.10", "model.language_model.layers.14.mlp.experts.11", "model.language_model.layers.14.mlp.experts.12", "model.language_model.layers.14.mlp.experts.13", "model.language_model.layers.14.mlp.experts.14", "model.language_model.layers.14.mlp.experts.15", "model.language_model.layers.14.mlp.experts.16", "model.language_model.layers.14.mlp.experts.17", "model.language_model.layers.14.mlp.experts.18", "model.language_model.layers.14.mlp.experts.19", "model.language_model.layers.14.mlp.experts.20", "model.language_model.layers.14.mlp.experts.21", "model.language_model.layers.14.mlp.experts.22", "model.language_model.layers.14.mlp.experts.23", "model.language_model.layers.14.mlp.experts.24", "model.language_model.layers.14.mlp.experts.25", "model.language_model.layers.14.mlp.experts.26", "model.language_model.layers.14.mlp.experts.27", "model.language_model.layers.14.mlp.experts.28", "model.language_model.layers.14.mlp.experts.29", "model.language_model.layers.14.mlp.experts.30", "model.language_model.layers.14.mlp.experts.31", "model.language_model.layers.14.mlp.experts.32", "model.language_model.layers.14.mlp.experts.33", "model.language_model.layers.14.mlp.experts.34", "model.language_model.layers.14.mlp.experts.35", "model.language_model.layers.14.mlp.experts.36", "model.language_model.layers.14.mlp.experts.37", "model.language_model.layers.14.mlp.experts.38", "model.language_model.layers.14.mlp.experts.39", "model.language_model.layers.14.mlp.experts.40", "model.language_model.layers.14.mlp.experts.41", "model.language_model.layers.14.mlp.experts.42", "model.language_model.layers.14.mlp.experts.43", "model.language_model.layers.14.mlp.experts.44", "model.language_model.layers.14.mlp.experts.45", "model.language_model.layers.14.mlp.experts.46", "model.language_model.layers.14.mlp.experts.47", "model.language_model.layers.14.mlp.experts.48", "model.language_model.layers.14.mlp.experts.49", "model.language_model.layers.14.mlp.experts.50", "model.language_model.layers.14.mlp.experts.51", "model.language_model.layers.14.mlp.experts.52", "model.language_model.layers.14.mlp.experts.53", "model.language_model.layers.14.mlp.experts.54", "model.language_model.layers.14.mlp.experts.55", "model.language_model.layers.14.mlp.experts.56", "model.language_model.layers.14.mlp.experts.57", "model.language_model.layers.14.mlp.experts.58", "model.language_model.layers.14.mlp.experts.59", "model.language_model.layers.14.mlp.experts.60", "model.language_model.layers.14.mlp.experts.61", "model.language_model.layers.14.mlp.experts.62", "model.language_model.layers.14.mlp.experts.63", "model.language_model.layers.14.mlp.experts.64", "model.language_model.layers.14.mlp.experts.65", "model.language_model.layers.14.mlp.experts.66", "model.language_model.layers.14.mlp.experts.67", "model.language_model.layers.14.mlp.experts.68", "model.language_model.layers.14.mlp.experts.69", "model.language_model.layers.14.mlp.experts.70", "model.language_model.layers.14.mlp.experts.71", "model.language_model.layers.14.mlp.experts.72", "model.language_model.layers.14.mlp.experts.73", "model.language_model.layers.14.mlp.experts.74", "model.language_model.layers.14.mlp.experts.75", "model.language_model.layers.14.mlp.experts.76", "model.language_model.layers.14.mlp.experts.77", "model.language_model.layers.14.mlp.experts.78", "model.language_model.layers.14.mlp.experts.79", "model.language_model.layers.14.mlp.experts.80", "model.language_model.layers.14.mlp.experts.81", "model.language_model.layers.14.mlp.experts.82", "model.language_model.layers.14.mlp.experts.83", "model.language_model.layers.14.mlp.experts.84", "model.language_model.layers.14.mlp.experts.85", "model.language_model.layers.14.mlp.experts.86", "model.language_model.layers.14.mlp.experts.87", "model.language_model.layers.14.mlp.experts.88", "model.language_model.layers.14.mlp.experts.89", "model.language_model.layers.14.mlp.experts.90", "model.language_model.layers.14.mlp.experts.91", "model.language_model.layers.14.mlp.experts.92", "model.language_model.layers.14.mlp.experts.93", "model.language_model.layers.14.mlp.experts.94", "model.language_model.layers.14.mlp.experts.95", "model.language_model.layers.14.mlp.experts.96", "model.language_model.layers.14.mlp.experts.97", "model.language_model.layers.14.mlp.experts.98", "model.language_model.layers.14.mlp.experts.99", "model.language_model.layers.14.mlp.experts.100", "model.language_model.layers.14.mlp.experts.101", "model.language_model.layers.14.mlp.experts.102", "model.language_model.layers.14.mlp.experts.103", "model.language_model.layers.14.mlp.experts.104", "model.language_model.layers.14.mlp.experts.105", "model.language_model.layers.14.mlp.experts.106", "model.language_model.layers.14.mlp.experts.107", "model.language_model.layers.14.mlp.experts.108", "model.language_model.layers.14.mlp.experts.109", "model.language_model.layers.14.mlp.experts.110", "model.language_model.layers.14.mlp.experts.111", "model.language_model.layers.14.mlp.experts.112", "model.language_model.layers.14.mlp.experts.113", "model.language_model.layers.14.mlp.experts.114", "model.language_model.layers.14.mlp.experts.115", "model.language_model.layers.14.mlp.experts.116", "model.language_model.layers.14.mlp.experts.117", "model.language_model.layers.14.mlp.experts.118", "model.language_model.layers.14.mlp.experts.119", "model.language_model.layers.14.mlp.experts.120", "model.language_model.layers.14.mlp.experts.121", "model.language_model.layers.14.mlp.experts.122", "model.language_model.layers.14.mlp.experts.123", "model.language_model.layers.14.mlp.experts.124", "model.language_model.layers.14.mlp.experts.125", "model.language_model.layers.14.mlp.experts.126", "model.language_model.layers.14.mlp.experts.127", "model.language_model.layers.14.mlp.experts.128", "model.language_model.layers.14.mlp.experts.129", "model.language_model.layers.14.mlp.experts.130", "model.language_model.layers.14.mlp.experts.131", "model.language_model.layers.14.mlp.experts.132", "model.language_model.layers.14.mlp.experts.133", "model.language_model.layers.14.mlp.experts.134", "model.language_model.layers.14.mlp.experts.135", "model.language_model.layers.14.mlp.experts.136", "model.language_model.layers.14.mlp.experts.137", "model.language_model.layers.14.mlp.experts.138", "model.language_model.layers.14.mlp.experts.139", "model.language_model.layers.14.mlp.experts.140", "model.language_model.layers.14.mlp.experts.141", "model.language_model.layers.14.mlp.experts.142", "model.language_model.layers.14.mlp.experts.143", "model.language_model.layers.14.mlp.experts.144", "model.language_model.layers.14.mlp.experts.145", "model.language_model.layers.14.mlp.experts.146", "model.language_model.layers.14.mlp.experts.147", "model.language_model.layers.14.mlp.experts.148", "model.language_model.layers.14.mlp.experts.149", "model.language_model.layers.14.mlp.experts.150", "model.language_model.layers.14.mlp.experts.151", "model.language_model.layers.14.mlp.experts.152", "model.language_model.layers.14.mlp.experts.153", "model.language_model.layers.14.mlp.experts.154", "model.language_model.layers.14.mlp.experts.155", "model.language_model.layers.14.mlp.experts.156", "model.language_model.layers.14.mlp.experts.157", "model.language_model.layers.14.mlp.experts.158", "model.language_model.layers.14.mlp.experts.159", "model.language_model.layers.14.mlp.experts.160", "model.language_model.layers.14.mlp.experts.161", "model.language_model.layers.14.mlp.experts.162", "model.language_model.layers.14.mlp.experts.163", "model.language_model.layers.14.mlp.experts.164", "model.language_model.layers.14.mlp.experts.165", "model.language_model.layers.14.mlp.experts.166", "model.language_model.layers.14.mlp.experts.167", "model.language_model.layers.14.mlp.experts.168", "model.language_model.layers.14.mlp.experts.169", "model.language_model.layers.14.mlp.experts.170", "model.language_model.layers.14.mlp.experts.171", "model.language_model.layers.14.mlp.experts.172", "model.language_model.layers.14.mlp.experts.173", "model.language_model.layers.14.mlp.experts.174", "model.language_model.layers.14.mlp.experts.175", "model.language_model.layers.14.mlp.experts.176", "model.language_model.layers.14.mlp.experts.177", "model.language_model.layers.14.mlp.experts.178", "model.language_model.layers.14.mlp.experts.179", "model.language_model.layers.14.mlp.experts.180", "model.language_model.layers.14.mlp.experts.181", "model.language_model.layers.14.mlp.experts.182", "model.language_model.layers.14.mlp.experts.183", "model.language_model.layers.14.mlp.experts.184", "model.language_model.layers.14.mlp.experts.185", "model.language_model.layers.14.mlp.experts.186", "model.language_model.layers.14.mlp.experts.187", "model.language_model.layers.14.mlp.experts.188", "model.language_model.layers.14.mlp.experts.189", "model.language_model.layers.14.mlp.experts.190", "model.language_model.layers.14.mlp.experts.191", "model.language_model.layers.14.mlp.experts.192", "model.language_model.layers.14.mlp.experts.193", "model.language_model.layers.14.mlp.experts.194", "model.language_model.layers.14.mlp.experts.195", "model.language_model.layers.14.mlp.experts.196", "model.language_model.layers.14.mlp.experts.197", "model.language_model.layers.14.mlp.experts.198", "model.language_model.layers.14.mlp.experts.199", "model.language_model.layers.14.mlp.experts.200", "model.language_model.layers.14.mlp.experts.201", "model.language_model.layers.14.mlp.experts.202", "model.language_model.layers.14.mlp.experts.203", "model.language_model.layers.14.mlp.experts.204", "model.language_model.layers.14.mlp.experts.205", "model.language_model.layers.14.mlp.experts.206", "model.language_model.layers.14.mlp.experts.207", "model.language_model.layers.14.mlp.experts.208", "model.language_model.layers.14.mlp.experts.209", "model.language_model.layers.14.mlp.experts.210", "model.language_model.layers.14.mlp.experts.211", "model.language_model.layers.14.mlp.experts.212", "model.language_model.layers.14.mlp.experts.213", "model.language_model.layers.14.mlp.experts.214", "model.language_model.layers.14.mlp.experts.215", "model.language_model.layers.14.mlp.experts.216", "model.language_model.layers.14.mlp.experts.217", "model.language_model.layers.14.mlp.experts.218", "model.language_model.layers.14.mlp.experts.219", "model.language_model.layers.14.mlp.experts.220", "model.language_model.layers.14.mlp.experts.221", "model.language_model.layers.14.mlp.experts.222", "model.language_model.layers.14.mlp.experts.223", "model.language_model.layers.14.mlp.experts.224", "model.language_model.layers.14.mlp.experts.225", "model.language_model.layers.14.mlp.experts.226", "model.language_model.layers.14.mlp.experts.227", "model.language_model.layers.14.mlp.experts.228", "model.language_model.layers.14.mlp.experts.229", "model.language_model.layers.14.mlp.experts.230", "model.language_model.layers.14.mlp.experts.231", "model.language_model.layers.14.mlp.experts.232", "model.language_model.layers.14.mlp.experts.233", "model.language_model.layers.14.mlp.experts.234", "model.language_model.layers.14.mlp.experts.235", "model.language_model.layers.14.mlp.experts.236", "model.language_model.layers.14.mlp.experts.237", "model.language_model.layers.14.mlp.experts.238", "model.language_model.layers.14.mlp.experts.239", "model.language_model.layers.14.mlp.experts.240", "model.language_model.layers.14.mlp.experts.241", "model.language_model.layers.14.mlp.experts.242", "model.language_model.layers.14.mlp.experts.243", "model.language_model.layers.14.mlp.experts.244", "model.language_model.layers.14.mlp.experts.245", "model.language_model.layers.14.mlp.experts.246", "model.language_model.layers.14.mlp.experts.247", "model.language_model.layers.14.mlp.experts.248", "model.language_model.layers.14.mlp.experts.249", "model.language_model.layers.14.mlp.experts.250", "model.language_model.layers.14.mlp.experts.251", "model.language_model.layers.14.mlp.experts.252", "model.language_model.layers.14.mlp.experts.253", "model.language_model.layers.14.mlp.experts.254", "model.language_model.layers.14.mlp.experts.255", "model.language_model.layers.14.mlp.shared_expert_gate", "model.language_model.layers.15.mlp.gate", "model.language_model.layers.15.mlp.experts.0", "model.language_model.layers.15.mlp.experts.1", "model.language_model.layers.15.mlp.experts.2", "model.language_model.layers.15.mlp.experts.3", "model.language_model.layers.15.mlp.experts.4", "model.language_model.layers.15.mlp.experts.5", "model.language_model.layers.15.mlp.experts.6", "model.language_model.layers.15.mlp.experts.7", "model.language_model.layers.15.mlp.experts.8", "model.language_model.layers.15.mlp.experts.9", "model.language_model.layers.15.mlp.experts.10", "model.language_model.layers.15.mlp.experts.11", "model.language_model.layers.15.mlp.experts.12", "model.language_model.layers.15.mlp.experts.13", "model.language_model.layers.15.mlp.experts.14", "model.language_model.layers.15.mlp.experts.15", "model.language_model.layers.15.mlp.experts.16", "model.language_model.layers.15.mlp.experts.17", "model.language_model.layers.15.mlp.experts.18", "model.language_model.layers.15.mlp.experts.19", "model.language_model.layers.15.mlp.experts.20", "model.language_model.layers.15.mlp.experts.21", "model.language_model.layers.15.mlp.experts.22", "model.language_model.layers.15.mlp.experts.23", "model.language_model.layers.15.mlp.experts.24", "model.language_model.layers.15.mlp.experts.25", "model.language_model.layers.15.mlp.experts.26", "model.language_model.layers.15.mlp.experts.27", "model.language_model.layers.15.mlp.experts.28", "model.language_model.layers.15.mlp.experts.29", "model.language_model.layers.15.mlp.experts.30", "model.language_model.layers.15.mlp.experts.31", "model.language_model.layers.15.mlp.experts.32", "model.language_model.layers.15.mlp.experts.33", "model.language_model.layers.15.mlp.experts.34", "model.language_model.layers.15.mlp.experts.35", "model.language_model.layers.15.mlp.experts.36", "model.language_model.layers.15.mlp.experts.37", "model.language_model.layers.15.mlp.experts.38", "model.language_model.layers.15.mlp.experts.39", "model.language_model.layers.15.mlp.experts.40", "model.language_model.layers.15.mlp.experts.41", "model.language_model.layers.15.mlp.experts.42", "model.language_model.layers.15.mlp.experts.43", "model.language_model.layers.15.mlp.experts.44", "model.language_model.layers.15.mlp.experts.45", "model.language_model.layers.15.mlp.experts.46", "model.language_model.layers.15.mlp.experts.47", "model.language_model.layers.15.mlp.experts.48", "model.language_model.layers.15.mlp.experts.49", "model.language_model.layers.15.mlp.experts.50", "model.language_model.layers.15.mlp.experts.51", "model.language_model.layers.15.mlp.experts.52", "model.language_model.layers.15.mlp.experts.53", "model.language_model.layers.15.mlp.experts.54", "model.language_model.layers.15.mlp.experts.55", "model.language_model.layers.15.mlp.experts.56", "model.language_model.layers.15.mlp.experts.57", "model.language_model.layers.15.mlp.experts.58", "model.language_model.layers.15.mlp.experts.59", "model.language_model.layers.15.mlp.experts.60", "model.language_model.layers.15.mlp.experts.61", "model.language_model.layers.15.mlp.experts.62", "model.language_model.layers.15.mlp.experts.63", "model.language_model.layers.15.mlp.experts.64", "model.language_model.layers.15.mlp.experts.65", "model.language_model.layers.15.mlp.experts.66", "model.language_model.layers.15.mlp.experts.67", "model.language_model.layers.15.mlp.experts.68", "model.language_model.layers.15.mlp.experts.69", "model.language_model.layers.15.mlp.experts.70", "model.language_model.layers.15.mlp.experts.71", "model.language_model.layers.15.mlp.experts.72", "model.language_model.layers.15.mlp.experts.73", "model.language_model.layers.15.mlp.experts.74", "model.language_model.layers.15.mlp.experts.75", "model.language_model.layers.15.mlp.experts.76", "model.language_model.layers.15.mlp.experts.77", "model.language_model.layers.15.mlp.experts.78", "model.language_model.layers.15.mlp.experts.79", "model.language_model.layers.15.mlp.experts.80", "model.language_model.layers.15.mlp.experts.81", "model.language_model.layers.15.mlp.experts.82", "model.language_model.layers.15.mlp.experts.83", "model.language_model.layers.15.mlp.experts.84", "model.language_model.layers.15.mlp.experts.85", "model.language_model.layers.15.mlp.experts.86", "model.language_model.layers.15.mlp.experts.87", "model.language_model.layers.15.mlp.experts.88", "model.language_model.layers.15.mlp.experts.89", "model.language_model.layers.15.mlp.experts.90", "model.language_model.layers.15.mlp.experts.91", "model.language_model.layers.15.mlp.experts.92", "model.language_model.layers.15.mlp.experts.93", "model.language_model.layers.15.mlp.experts.94", "model.language_model.layers.15.mlp.experts.95", "model.language_model.layers.15.mlp.experts.96", "model.language_model.layers.15.mlp.experts.97", "model.language_model.layers.15.mlp.experts.98", "model.language_model.layers.15.mlp.experts.99", "model.language_model.layers.15.mlp.experts.100", "model.language_model.layers.15.mlp.experts.101", "model.language_model.layers.15.mlp.experts.102", "model.language_model.layers.15.mlp.experts.103", "model.language_model.layers.15.mlp.experts.104", "model.language_model.layers.15.mlp.experts.105", "model.language_model.layers.15.mlp.experts.106", "model.language_model.layers.15.mlp.experts.107", "model.language_model.layers.15.mlp.experts.108", "model.language_model.layers.15.mlp.experts.109", "model.language_model.layers.15.mlp.experts.110", "model.language_model.layers.15.mlp.experts.111", "model.language_model.layers.15.mlp.experts.112", "model.language_model.layers.15.mlp.experts.113", "model.language_model.layers.15.mlp.experts.114", "model.language_model.layers.15.mlp.experts.115", "model.language_model.layers.15.mlp.experts.116", "model.language_model.layers.15.mlp.experts.117", "model.language_model.layers.15.mlp.experts.118", "model.language_model.layers.15.mlp.experts.119", "model.language_model.layers.15.mlp.experts.120", "model.language_model.layers.15.mlp.experts.121", "model.language_model.layers.15.mlp.experts.122", "model.language_model.layers.15.mlp.experts.123", "model.language_model.layers.15.mlp.experts.124", "model.language_model.layers.15.mlp.experts.125", "model.language_model.layers.15.mlp.experts.126", "model.language_model.layers.15.mlp.experts.127", "model.language_model.layers.15.mlp.experts.128", "model.language_model.layers.15.mlp.experts.129", "model.language_model.layers.15.mlp.experts.130", "model.language_model.layers.15.mlp.experts.131", "model.language_model.layers.15.mlp.experts.132", "model.language_model.layers.15.mlp.experts.133", "model.language_model.layers.15.mlp.experts.134", "model.language_model.layers.15.mlp.experts.135", "model.language_model.layers.15.mlp.experts.136", "model.language_model.layers.15.mlp.experts.137", "model.language_model.layers.15.mlp.experts.138", "model.language_model.layers.15.mlp.experts.139", "model.language_model.layers.15.mlp.experts.140", "model.language_model.layers.15.mlp.experts.141", "model.language_model.layers.15.mlp.experts.142", "model.language_model.layers.15.mlp.experts.143", "model.language_model.layers.15.mlp.experts.144", "model.language_model.layers.15.mlp.experts.145", "model.language_model.layers.15.mlp.experts.146", "model.language_model.layers.15.mlp.experts.147", "model.language_model.layers.15.mlp.experts.148", "model.language_model.layers.15.mlp.experts.149", "model.language_model.layers.15.mlp.experts.150", "model.language_model.layers.15.mlp.experts.151", "model.language_model.layers.15.mlp.experts.152", "model.language_model.layers.15.mlp.experts.153", "model.language_model.layers.15.mlp.experts.154", "model.language_model.layers.15.mlp.experts.155", "model.language_model.layers.15.mlp.experts.156", "model.language_model.layers.15.mlp.experts.157", "model.language_model.layers.15.mlp.experts.158", "model.language_model.layers.15.mlp.experts.159", "model.language_model.layers.15.mlp.experts.160", "model.language_model.layers.15.mlp.experts.161", "model.language_model.layers.15.mlp.experts.162", "model.language_model.layers.15.mlp.experts.163", "model.language_model.layers.15.mlp.experts.164", "model.language_model.layers.15.mlp.experts.165", "model.language_model.layers.15.mlp.experts.166", "model.language_model.layers.15.mlp.experts.167", "model.language_model.layers.15.mlp.experts.168", "model.language_model.layers.15.mlp.experts.169", "model.language_model.layers.15.mlp.experts.170", "model.language_model.layers.15.mlp.experts.171", "model.language_model.layers.15.mlp.experts.172", "model.language_model.layers.15.mlp.experts.173", "model.language_model.layers.15.mlp.experts.174", "model.language_model.layers.15.mlp.experts.175", "model.language_model.layers.15.mlp.experts.176", "model.language_model.layers.15.mlp.experts.177", "model.language_model.layers.15.mlp.experts.178", "model.language_model.layers.15.mlp.experts.179", "model.language_model.layers.15.mlp.experts.180", "model.language_model.layers.15.mlp.experts.181", "model.language_model.layers.15.mlp.experts.182", "model.language_model.layers.15.mlp.experts.183", "model.language_model.layers.15.mlp.experts.184", "model.language_model.layers.15.mlp.experts.185", "model.language_model.layers.15.mlp.experts.186", "model.language_model.layers.15.mlp.experts.187", "model.language_model.layers.15.mlp.experts.188", "model.language_model.layers.15.mlp.experts.189", "model.language_model.layers.15.mlp.experts.190", "model.language_model.layers.15.mlp.experts.191", "model.language_model.layers.15.mlp.experts.192", "model.language_model.layers.15.mlp.experts.193", "model.language_model.layers.15.mlp.experts.194", "model.language_model.layers.15.mlp.experts.195", "model.language_model.layers.15.mlp.experts.196", "model.language_model.layers.15.mlp.experts.197", "model.language_model.layers.15.mlp.experts.198", "model.language_model.layers.15.mlp.experts.199", "model.language_model.layers.15.mlp.experts.200", "model.language_model.layers.15.mlp.experts.201", "model.language_model.layers.15.mlp.experts.202", "model.language_model.layers.15.mlp.experts.203", "model.language_model.layers.15.mlp.experts.204", "model.language_model.layers.15.mlp.experts.205", "model.language_model.layers.15.mlp.experts.206", "model.language_model.layers.15.mlp.experts.207", "model.language_model.layers.15.mlp.experts.208", "model.language_model.layers.15.mlp.experts.209", "model.language_model.layers.15.mlp.experts.210", "model.language_model.layers.15.mlp.experts.211", "model.language_model.layers.15.mlp.experts.212", "model.language_model.layers.15.mlp.experts.213", "model.language_model.layers.15.mlp.experts.214", "model.language_model.layers.15.mlp.experts.215", "model.language_model.layers.15.mlp.experts.216", "model.language_model.layers.15.mlp.experts.217", "model.language_model.layers.15.mlp.experts.218", "model.language_model.layers.15.mlp.experts.219", "model.language_model.layers.15.mlp.experts.220", "model.language_model.layers.15.mlp.experts.221", "model.language_model.layers.15.mlp.experts.222", "model.language_model.layers.15.mlp.experts.223", "model.language_model.layers.15.mlp.experts.224", "model.language_model.layers.15.mlp.experts.225", "model.language_model.layers.15.mlp.experts.226", "model.language_model.layers.15.mlp.experts.227", "model.language_model.layers.15.mlp.experts.228", "model.language_model.layers.15.mlp.experts.229", "model.language_model.layers.15.mlp.experts.230", "model.language_model.layers.15.mlp.experts.231", "model.language_model.layers.15.mlp.experts.232", "model.language_model.layers.15.mlp.experts.233", "model.language_model.layers.15.mlp.experts.234", "model.language_model.layers.15.mlp.experts.235", "model.language_model.layers.15.mlp.experts.236", "model.language_model.layers.15.mlp.experts.237", "model.language_model.layers.15.mlp.experts.238", "model.language_model.layers.15.mlp.experts.239", "model.language_model.layers.15.mlp.experts.240", "model.language_model.layers.15.mlp.experts.241", "model.language_model.layers.15.mlp.experts.242", "model.language_model.layers.15.mlp.experts.243", "model.language_model.layers.15.mlp.experts.244", "model.language_model.layers.15.mlp.experts.245", "model.language_model.layers.15.mlp.experts.246", "model.language_model.layers.15.mlp.experts.247", "model.language_model.layers.15.mlp.experts.248", "model.language_model.layers.15.mlp.experts.249", "model.language_model.layers.15.mlp.experts.250", "model.language_model.layers.15.mlp.experts.251", "model.language_model.layers.15.mlp.experts.252", "model.language_model.layers.15.mlp.experts.253", "model.language_model.layers.15.mlp.experts.254", "model.language_model.layers.15.mlp.experts.255", "model.language_model.layers.15.mlp.shared_expert_gate", "model.language_model.layers.16.linear_attn", "model.language_model.layers.16.linear_attn.norm", "model.language_model.layers.16.linear_attn.in_proj_b", "model.language_model.layers.16.linear_attn.in_proj_a", "model.language_model.layers.16.mlp.gate", "model.language_model.layers.16.mlp.experts.0", "model.language_model.layers.16.mlp.experts.1", "model.language_model.layers.16.mlp.experts.2", "model.language_model.layers.16.mlp.experts.3", "model.language_model.layers.16.mlp.experts.4", "model.language_model.layers.16.mlp.experts.5", "model.language_model.layers.16.mlp.experts.6", "model.language_model.layers.16.mlp.experts.7", "model.language_model.layers.16.mlp.experts.8", "model.language_model.layers.16.mlp.experts.9", "model.language_model.layers.16.mlp.experts.10", "model.language_model.layers.16.mlp.experts.11", "model.language_model.layers.16.mlp.experts.12", "model.language_model.layers.16.mlp.experts.13", "model.language_model.layers.16.mlp.experts.14", "model.language_model.layers.16.mlp.experts.15", "model.language_model.layers.16.mlp.experts.16", "model.language_model.layers.16.mlp.experts.17", "model.language_model.layers.16.mlp.experts.18", "model.language_model.layers.16.mlp.experts.19", "model.language_model.layers.16.mlp.experts.20", "model.language_model.layers.16.mlp.experts.21", "model.language_model.layers.16.mlp.experts.22", "model.language_model.layers.16.mlp.experts.23", "model.language_model.layers.16.mlp.experts.24", "model.language_model.layers.16.mlp.experts.25", "model.language_model.layers.16.mlp.experts.26", "model.language_model.layers.16.mlp.experts.27", "model.language_model.layers.16.mlp.experts.28", "model.language_model.layers.16.mlp.experts.29", "model.language_model.layers.16.mlp.experts.30", "model.language_model.layers.16.mlp.experts.31", "model.language_model.layers.16.mlp.experts.32", "model.language_model.layers.16.mlp.experts.33", "model.language_model.layers.16.mlp.experts.34", "model.language_model.layers.16.mlp.experts.35", "model.language_model.layers.16.mlp.experts.36", "model.language_model.layers.16.mlp.experts.37", "model.language_model.layers.16.mlp.experts.38", "model.language_model.layers.16.mlp.experts.39", "model.language_model.layers.16.mlp.experts.40", "model.language_model.layers.16.mlp.experts.41", "model.language_model.layers.16.mlp.experts.42", "model.language_model.layers.16.mlp.experts.43", "model.language_model.layers.16.mlp.experts.44", "model.language_model.layers.16.mlp.experts.45", "model.language_model.layers.16.mlp.experts.46", "model.language_model.layers.16.mlp.experts.47", "model.language_model.layers.16.mlp.experts.48", "model.language_model.layers.16.mlp.experts.49", "model.language_model.layers.16.mlp.experts.50", "model.language_model.layers.16.mlp.experts.51", "model.language_model.layers.16.mlp.experts.52", "model.language_model.layers.16.mlp.experts.53", "model.language_model.layers.16.mlp.experts.54", "model.language_model.layers.16.mlp.experts.55", "model.language_model.layers.16.mlp.experts.56", "model.language_model.layers.16.mlp.experts.57", "model.language_model.layers.16.mlp.experts.58", "model.language_model.layers.16.mlp.experts.59", "model.language_model.layers.16.mlp.experts.60", "model.language_model.layers.16.mlp.experts.61", "model.language_model.layers.16.mlp.experts.62", "model.language_model.layers.16.mlp.experts.63", "model.language_model.layers.16.mlp.experts.64", "model.language_model.layers.16.mlp.experts.65", "model.language_model.layers.16.mlp.experts.66", "model.language_model.layers.16.mlp.experts.67", "model.language_model.layers.16.mlp.experts.68", "model.language_model.layers.16.mlp.experts.69", "model.language_model.layers.16.mlp.experts.70", "model.language_model.layers.16.mlp.experts.71", "model.language_model.layers.16.mlp.experts.72", "model.language_model.layers.16.mlp.experts.73", "model.language_model.layers.16.mlp.experts.74", "model.language_model.layers.16.mlp.experts.75", "model.language_model.layers.16.mlp.experts.76", "model.language_model.layers.16.mlp.experts.77", "model.language_model.layers.16.mlp.experts.78", "model.language_model.layers.16.mlp.experts.79", "model.language_model.layers.16.mlp.experts.80", "model.language_model.layers.16.mlp.experts.81", "model.language_model.layers.16.mlp.experts.82", "model.language_model.layers.16.mlp.experts.83", "model.language_model.layers.16.mlp.experts.84", "model.language_model.layers.16.mlp.experts.85", "model.language_model.layers.16.mlp.experts.86", "model.language_model.layers.16.mlp.experts.87", "model.language_model.layers.16.mlp.experts.88", "model.language_model.layers.16.mlp.experts.89", "model.language_model.layers.16.mlp.experts.90", "model.language_model.layers.16.mlp.experts.91", "model.language_model.layers.16.mlp.experts.92", "model.language_model.layers.16.mlp.experts.93", "model.language_model.layers.16.mlp.experts.94", "model.language_model.layers.16.mlp.experts.95", "model.language_model.layers.16.mlp.experts.96", "model.language_model.layers.16.mlp.experts.97", "model.language_model.layers.16.mlp.experts.98", "model.language_model.layers.16.mlp.experts.99", "model.language_model.layers.16.mlp.experts.100", "model.language_model.layers.16.mlp.experts.101", "model.language_model.layers.16.mlp.experts.102", "model.language_model.layers.16.mlp.experts.103", "model.language_model.layers.16.mlp.experts.104", "model.language_model.layers.16.mlp.experts.105", "model.language_model.layers.16.mlp.experts.106", "model.language_model.layers.16.mlp.experts.107", "model.language_model.layers.16.mlp.experts.108", "model.language_model.layers.16.mlp.experts.109", "model.language_model.layers.16.mlp.experts.110", "model.language_model.layers.16.mlp.experts.111", "model.language_model.layers.16.mlp.experts.112", "model.language_model.layers.16.mlp.experts.113", "model.language_model.layers.16.mlp.experts.114", "model.language_model.layers.16.mlp.experts.115", "model.language_model.layers.16.mlp.experts.116", "model.language_model.layers.16.mlp.experts.117", "model.language_model.layers.16.mlp.experts.118", "model.language_model.layers.16.mlp.experts.119", "model.language_model.layers.16.mlp.experts.120", "model.language_model.layers.16.mlp.experts.121", "model.language_model.layers.16.mlp.experts.122", "model.language_model.layers.16.mlp.experts.123", "model.language_model.layers.16.mlp.experts.124", "model.language_model.layers.16.mlp.experts.125", "model.language_model.layers.16.mlp.experts.126", "model.language_model.layers.16.mlp.experts.127", "model.language_model.layers.16.mlp.experts.128", "model.language_model.layers.16.mlp.experts.129", "model.language_model.layers.16.mlp.experts.130", "model.language_model.layers.16.mlp.experts.131", "model.language_model.layers.16.mlp.experts.132", "model.language_model.layers.16.mlp.experts.133", "model.language_model.layers.16.mlp.experts.134", "model.language_model.layers.16.mlp.experts.135", "model.language_model.layers.16.mlp.experts.136", "model.language_model.layers.16.mlp.experts.137", "model.language_model.layers.16.mlp.experts.138", "model.language_model.layers.16.mlp.experts.139", "model.language_model.layers.16.mlp.experts.140", "model.language_model.layers.16.mlp.experts.141", "model.language_model.layers.16.mlp.experts.142", "model.language_model.layers.16.mlp.experts.143", "model.language_model.layers.16.mlp.experts.144", "model.language_model.layers.16.mlp.experts.145", "model.language_model.layers.16.mlp.experts.146", "model.language_model.layers.16.mlp.experts.147", "model.language_model.layers.16.mlp.experts.148", "model.language_model.layers.16.mlp.experts.149", "model.language_model.layers.16.mlp.experts.150", "model.language_model.layers.16.mlp.experts.151", "model.language_model.layers.16.mlp.experts.152", "model.language_model.layers.16.mlp.experts.153", "model.language_model.layers.16.mlp.experts.154", "model.language_model.layers.16.mlp.experts.155", "model.language_model.layers.16.mlp.experts.156", "model.language_model.layers.16.mlp.experts.157", "model.language_model.layers.16.mlp.experts.158", "model.language_model.layers.16.mlp.experts.159", "model.language_model.layers.16.mlp.experts.160", "model.language_model.layers.16.mlp.experts.161", "model.language_model.layers.16.mlp.experts.162", "model.language_model.layers.16.mlp.experts.163", "model.language_model.layers.16.mlp.experts.164", "model.language_model.layers.16.mlp.experts.165", "model.language_model.layers.16.mlp.experts.166", "model.language_model.layers.16.mlp.experts.167", "model.language_model.layers.16.mlp.experts.168", "model.language_model.layers.16.mlp.experts.169", "model.language_model.layers.16.mlp.experts.170", "model.language_model.layers.16.mlp.experts.171", "model.language_model.layers.16.mlp.experts.172", "model.language_model.layers.16.mlp.experts.173", "model.language_model.layers.16.mlp.experts.174", "model.language_model.layers.16.mlp.experts.175", "model.language_model.layers.16.mlp.experts.176", "model.language_model.layers.16.mlp.experts.177", "model.language_model.layers.16.mlp.experts.178", "model.language_model.layers.16.mlp.experts.179", "model.language_model.layers.16.mlp.experts.180", "model.language_model.layers.16.mlp.experts.181", "model.language_model.layers.16.mlp.experts.182", "model.language_model.layers.16.mlp.experts.183", "model.language_model.layers.16.mlp.experts.184", "model.language_model.layers.16.mlp.experts.185", "model.language_model.layers.16.mlp.experts.186", "model.language_model.layers.16.mlp.experts.187", "model.language_model.layers.16.mlp.experts.188", "model.language_model.layers.16.mlp.experts.189", "model.language_model.layers.16.mlp.experts.190", "model.language_model.layers.16.mlp.experts.191", "model.language_model.layers.16.mlp.experts.192", "model.language_model.layers.16.mlp.experts.193", "model.language_model.layers.16.mlp.experts.194", "model.language_model.layers.16.mlp.experts.195", "model.language_model.layers.16.mlp.experts.196", "model.language_model.layers.16.mlp.experts.197", "model.language_model.layers.16.mlp.experts.198", "model.language_model.layers.16.mlp.experts.199", "model.language_model.layers.16.mlp.experts.200", "model.language_model.layers.16.mlp.experts.201", "model.language_model.layers.16.mlp.experts.202", "model.language_model.layers.16.mlp.experts.203", "model.language_model.layers.16.mlp.experts.204", "model.language_model.layers.16.mlp.experts.205", "model.language_model.layers.16.mlp.experts.206", "model.language_model.layers.16.mlp.experts.207", "model.language_model.layers.16.mlp.experts.208", "model.language_model.layers.16.mlp.experts.209", "model.language_model.layers.16.mlp.experts.210", "model.language_model.layers.16.mlp.experts.211", "model.language_model.layers.16.mlp.experts.212", "model.language_model.layers.16.mlp.experts.213", "model.language_model.layers.16.mlp.experts.214", "model.language_model.layers.16.mlp.experts.215", "model.language_model.layers.16.mlp.experts.216", "model.language_model.layers.16.mlp.experts.217", "model.language_model.layers.16.mlp.experts.218", "model.language_model.layers.16.mlp.experts.219", "model.language_model.layers.16.mlp.experts.220", "model.language_model.layers.16.mlp.experts.221", "model.language_model.layers.16.mlp.experts.222", "model.language_model.layers.16.mlp.experts.223", "model.language_model.layers.16.mlp.experts.224", "model.language_model.layers.16.mlp.experts.225", "model.language_model.layers.16.mlp.experts.226", "model.language_model.layers.16.mlp.experts.227", "model.language_model.layers.16.mlp.experts.228", "model.language_model.layers.16.mlp.experts.229", "model.language_model.layers.16.mlp.experts.230", "model.language_model.layers.16.mlp.experts.231", "model.language_model.layers.16.mlp.experts.232", "model.language_model.layers.16.mlp.experts.233", "model.language_model.layers.16.mlp.experts.234", "model.language_model.layers.16.mlp.experts.235", "model.language_model.layers.16.mlp.experts.236", "model.language_model.layers.16.mlp.experts.237", "model.language_model.layers.16.mlp.experts.238", "model.language_model.layers.16.mlp.experts.239", "model.language_model.layers.16.mlp.experts.240", "model.language_model.layers.16.mlp.experts.241", "model.language_model.layers.16.mlp.experts.242", "model.language_model.layers.16.mlp.experts.243", "model.language_model.layers.16.mlp.experts.244", "model.language_model.layers.16.mlp.experts.245", "model.language_model.layers.16.mlp.experts.246", "model.language_model.layers.16.mlp.experts.247", "model.language_model.layers.16.mlp.experts.248", "model.language_model.layers.16.mlp.experts.249", "model.language_model.layers.16.mlp.experts.250", "model.language_model.layers.16.mlp.experts.251", "model.language_model.layers.16.mlp.experts.252", "model.language_model.layers.16.mlp.experts.253", "model.language_model.layers.16.mlp.experts.254", "model.language_model.layers.16.mlp.experts.255", "model.language_model.layers.16.mlp.shared_expert_gate", "model.language_model.layers.17.linear_attn", "model.language_model.layers.17.linear_attn.norm", "model.language_model.layers.17.linear_attn.in_proj_b", "model.language_model.layers.17.linear_attn.in_proj_a", "model.language_model.layers.17.mlp.gate", "model.language_model.layers.17.mlp.experts.0", "model.language_model.layers.17.mlp.experts.1", "model.language_model.layers.17.mlp.experts.2", "model.language_model.layers.17.mlp.experts.3", "model.language_model.layers.17.mlp.experts.4", "model.language_model.layers.17.mlp.experts.5", "model.language_model.layers.17.mlp.experts.6", "model.language_model.layers.17.mlp.experts.7", "model.language_model.layers.17.mlp.experts.8", "model.language_model.layers.17.mlp.experts.9", "model.language_model.layers.17.mlp.experts.10", "model.language_model.layers.17.mlp.experts.11", "model.language_model.layers.17.mlp.experts.12", "model.language_model.layers.17.mlp.experts.13", "model.language_model.layers.17.mlp.experts.14", "model.language_model.layers.17.mlp.experts.15", "model.language_model.layers.17.mlp.experts.16", "model.language_model.layers.17.mlp.experts.17", "model.language_model.layers.17.mlp.experts.18", "model.language_model.layers.17.mlp.experts.19", "model.language_model.layers.17.mlp.experts.20", "model.language_model.layers.17.mlp.experts.21", "model.language_model.layers.17.mlp.experts.22", "model.language_model.layers.17.mlp.experts.23", "model.language_model.layers.17.mlp.experts.24", "model.language_model.layers.17.mlp.experts.25", "model.language_model.layers.17.mlp.experts.26", "model.language_model.layers.17.mlp.experts.27", "model.language_model.layers.17.mlp.experts.28", "model.language_model.layers.17.mlp.experts.29", "model.language_model.layers.17.mlp.experts.30", "model.language_model.layers.17.mlp.experts.31", "model.language_model.layers.17.mlp.experts.32", "model.language_model.layers.17.mlp.experts.33", "model.language_model.layers.17.mlp.experts.34", "model.language_model.layers.17.mlp.experts.35", "model.language_model.layers.17.mlp.experts.36", "model.language_model.layers.17.mlp.experts.37", "model.language_model.layers.17.mlp.experts.38", "model.language_model.layers.17.mlp.experts.39", "model.language_model.layers.17.mlp.experts.40", "model.language_model.layers.17.mlp.experts.41", "model.language_model.layers.17.mlp.experts.42", "model.language_model.layers.17.mlp.experts.43", "model.language_model.layers.17.mlp.experts.44", "model.language_model.layers.17.mlp.experts.45", "model.language_model.layers.17.mlp.experts.46", "model.language_model.layers.17.mlp.experts.47", "model.language_model.layers.17.mlp.experts.48", "model.language_model.layers.17.mlp.experts.49", "model.language_model.layers.17.mlp.experts.50", "model.language_model.layers.17.mlp.experts.51", "model.language_model.layers.17.mlp.experts.52", "model.language_model.layers.17.mlp.experts.53", "model.language_model.layers.17.mlp.experts.54", "model.language_model.layers.17.mlp.experts.55", "model.language_model.layers.17.mlp.experts.56", "model.language_model.layers.17.mlp.experts.57", "model.language_model.layers.17.mlp.experts.58", "model.language_model.layers.17.mlp.experts.59", "model.language_model.layers.17.mlp.experts.60", "model.language_model.layers.17.mlp.experts.61", "model.language_model.layers.17.mlp.experts.62", "model.language_model.layers.17.mlp.experts.63", "model.language_model.layers.17.mlp.experts.64", "model.language_model.layers.17.mlp.experts.65", "model.language_model.layers.17.mlp.experts.66", "model.language_model.layers.17.mlp.experts.67", "model.language_model.layers.17.mlp.experts.68", "model.language_model.layers.17.mlp.experts.69", "model.language_model.layers.17.mlp.experts.70", "model.language_model.layers.17.mlp.experts.71", "model.language_model.layers.17.mlp.experts.72", "model.language_model.layers.17.mlp.experts.73", "model.language_model.layers.17.mlp.experts.74", "model.language_model.layers.17.mlp.experts.75", "model.language_model.layers.17.mlp.experts.76", "model.language_model.layers.17.mlp.experts.77", "model.language_model.layers.17.mlp.experts.78", "model.language_model.layers.17.mlp.experts.79", "model.language_model.layers.17.mlp.experts.80", "model.language_model.layers.17.mlp.experts.81", "model.language_model.layers.17.mlp.experts.82", "model.language_model.layers.17.mlp.experts.83", "model.language_model.layers.17.mlp.experts.84", "model.language_model.layers.17.mlp.experts.85", "model.language_model.layers.17.mlp.experts.86", "model.language_model.layers.17.mlp.experts.87", "model.language_model.layers.17.mlp.experts.88", "model.language_model.layers.17.mlp.experts.89", "model.language_model.layers.17.mlp.experts.90", "model.language_model.layers.17.mlp.experts.91", "model.language_model.layers.17.mlp.experts.92", "model.language_model.layers.17.mlp.experts.93", "model.language_model.layers.17.mlp.experts.94", "model.language_model.layers.17.mlp.experts.95", "model.language_model.layers.17.mlp.experts.96", "model.language_model.layers.17.mlp.experts.97", "model.language_model.layers.17.mlp.experts.98", "model.language_model.layers.17.mlp.experts.99", "model.language_model.layers.17.mlp.experts.100", "model.language_model.layers.17.mlp.experts.101", "model.language_model.layers.17.mlp.experts.102", "model.language_model.layers.17.mlp.experts.103", "model.language_model.layers.17.mlp.experts.104", "model.language_model.layers.17.mlp.experts.105", "model.language_model.layers.17.mlp.experts.106", "model.language_model.layers.17.mlp.experts.107", "model.language_model.layers.17.mlp.experts.108", "model.language_model.layers.17.mlp.experts.109", "model.language_model.layers.17.mlp.experts.110", "model.language_model.layers.17.mlp.experts.111", "model.language_model.layers.17.mlp.experts.112", "model.language_model.layers.17.mlp.experts.113", "model.language_model.layers.17.mlp.experts.114", "model.language_model.layers.17.mlp.experts.115", "model.language_model.layers.17.mlp.experts.116", "model.language_model.layers.17.mlp.experts.117", "model.language_model.layers.17.mlp.experts.118", "model.language_model.layers.17.mlp.experts.119", "model.language_model.layers.17.mlp.experts.120", "model.language_model.layers.17.mlp.experts.121", "model.language_model.layers.17.mlp.experts.122", "model.language_model.layers.17.mlp.experts.123", "model.language_model.layers.17.mlp.experts.124", "model.language_model.layers.17.mlp.experts.125", "model.language_model.layers.17.mlp.experts.126", "model.language_model.layers.17.mlp.experts.127", "model.language_model.layers.17.mlp.experts.128", "model.language_model.layers.17.mlp.experts.129", "model.language_model.layers.17.mlp.experts.130", "model.language_model.layers.17.mlp.experts.131", "model.language_model.layers.17.mlp.experts.132", "model.language_model.layers.17.mlp.experts.133", "model.language_model.layers.17.mlp.experts.134", "model.language_model.layers.17.mlp.experts.135", "model.language_model.layers.17.mlp.experts.136", "model.language_model.layers.17.mlp.experts.137", "model.language_model.layers.17.mlp.experts.138", "model.language_model.layers.17.mlp.experts.139", "model.language_model.layers.17.mlp.experts.140", "model.language_model.layers.17.mlp.experts.141", "model.language_model.layers.17.mlp.experts.142", "model.language_model.layers.17.mlp.experts.143", "model.language_model.layers.17.mlp.experts.144", "model.language_model.layers.17.mlp.experts.145", "model.language_model.layers.17.mlp.experts.146", "model.language_model.layers.17.mlp.experts.147", "model.language_model.layers.17.mlp.experts.148", "model.language_model.layers.17.mlp.experts.149", "model.language_model.layers.17.mlp.experts.150", "model.language_model.layers.17.mlp.experts.151", "model.language_model.layers.17.mlp.experts.152", "model.language_model.layers.17.mlp.experts.153", "model.language_model.layers.17.mlp.experts.154", "model.language_model.layers.17.mlp.experts.155", "model.language_model.layers.17.mlp.experts.156", "model.language_model.layers.17.mlp.experts.157", "model.language_model.layers.17.mlp.experts.158", "model.language_model.layers.17.mlp.experts.159", "model.language_model.layers.17.mlp.experts.160", "model.language_model.layers.17.mlp.experts.161", "model.language_model.layers.17.mlp.experts.162", "model.language_model.layers.17.mlp.experts.163", "model.language_model.layers.17.mlp.experts.164", "model.language_model.layers.17.mlp.experts.165", "model.language_model.layers.17.mlp.experts.166", "model.language_model.layers.17.mlp.experts.167", "model.language_model.layers.17.mlp.experts.168", "model.language_model.layers.17.mlp.experts.169", "model.language_model.layers.17.mlp.experts.170", "model.language_model.layers.17.mlp.experts.171", "model.language_model.layers.17.mlp.experts.172", "model.language_model.layers.17.mlp.experts.173", "model.language_model.layers.17.mlp.experts.174", "model.language_model.layers.17.mlp.experts.175", "model.language_model.layers.17.mlp.experts.176", "model.language_model.layers.17.mlp.experts.177", "model.language_model.layers.17.mlp.experts.178", "model.language_model.layers.17.mlp.experts.179", "model.language_model.layers.17.mlp.experts.180", "model.language_model.layers.17.mlp.experts.181", "model.language_model.layers.17.mlp.experts.182", "model.language_model.layers.17.mlp.experts.183", "model.language_model.layers.17.mlp.experts.184", "model.language_model.layers.17.mlp.experts.185", "model.language_model.layers.17.mlp.experts.186", "model.language_model.layers.17.mlp.experts.187", "model.language_model.layers.17.mlp.experts.188", "model.language_model.layers.17.mlp.experts.189", "model.language_model.layers.17.mlp.experts.190", "model.language_model.layers.17.mlp.experts.191", "model.language_model.layers.17.mlp.experts.192", "model.language_model.layers.17.mlp.experts.193", "model.language_model.layers.17.mlp.experts.194", "model.language_model.layers.17.mlp.experts.195", "model.language_model.layers.17.mlp.experts.196", "model.language_model.layers.17.mlp.experts.197", "model.language_model.layers.17.mlp.experts.198", "model.language_model.layers.17.mlp.experts.199", "model.language_model.layers.17.mlp.experts.200", "model.language_model.layers.17.mlp.experts.201", "model.language_model.layers.17.mlp.experts.202", "model.language_model.layers.17.mlp.experts.203", "model.language_model.layers.17.mlp.experts.204", "model.language_model.layers.17.mlp.experts.205", "model.language_model.layers.17.mlp.experts.206", "model.language_model.layers.17.mlp.experts.207", "model.language_model.layers.17.mlp.experts.208", "model.language_model.layers.17.mlp.experts.209", "model.language_model.layers.17.mlp.experts.210", "model.language_model.layers.17.mlp.experts.211", "model.language_model.layers.17.mlp.experts.212", "model.language_model.layers.17.mlp.experts.213", "model.language_model.layers.17.mlp.experts.214", "model.language_model.layers.17.mlp.experts.215", "model.language_model.layers.17.mlp.experts.216", "model.language_model.layers.17.mlp.experts.217", "model.language_model.layers.17.mlp.experts.218", "model.language_model.layers.17.mlp.experts.219", "model.language_model.layers.17.mlp.experts.220", "model.language_model.layers.17.mlp.experts.221", "model.language_model.layers.17.mlp.experts.222", "model.language_model.layers.17.mlp.experts.223", "model.language_model.layers.17.mlp.experts.224", "model.language_model.layers.17.mlp.experts.225", "model.language_model.layers.17.mlp.experts.226", "model.language_model.layers.17.mlp.experts.227", "model.language_model.layers.17.mlp.experts.228", "model.language_model.layers.17.mlp.experts.229", "model.language_model.layers.17.mlp.experts.230", "model.language_model.layers.17.mlp.experts.231", "model.language_model.layers.17.mlp.experts.232", "model.language_model.layers.17.mlp.experts.233", "model.language_model.layers.17.mlp.experts.234", "model.language_model.layers.17.mlp.experts.235", "model.language_model.layers.17.mlp.experts.236", "model.language_model.layers.17.mlp.experts.237", "model.language_model.layers.17.mlp.experts.238", "model.language_model.layers.17.mlp.experts.239", "model.language_model.layers.17.mlp.experts.240", "model.language_model.layers.17.mlp.experts.241", "model.language_model.layers.17.mlp.experts.242", "model.language_model.layers.17.mlp.experts.243", "model.language_model.layers.17.mlp.experts.244", "model.language_model.layers.17.mlp.experts.245", "model.language_model.layers.17.mlp.experts.246", "model.language_model.layers.17.mlp.experts.247", "model.language_model.layers.17.mlp.experts.248", "model.language_model.layers.17.mlp.experts.249", "model.language_model.layers.17.mlp.experts.250", "model.language_model.layers.17.mlp.experts.251", "model.language_model.layers.17.mlp.experts.252", "model.language_model.layers.17.mlp.experts.253", "model.language_model.layers.17.mlp.experts.254", "model.language_model.layers.17.mlp.experts.255", "model.language_model.layers.17.mlp.shared_expert_gate", "model.language_model.layers.18.linear_attn", "model.language_model.layers.18.linear_attn.norm", "model.language_model.layers.18.linear_attn.in_proj_b", "model.language_model.layers.18.linear_attn.in_proj_a", "model.language_model.layers.18.mlp.gate", "model.language_model.layers.18.mlp.experts.0", "model.language_model.layers.18.mlp.experts.1", "model.language_model.layers.18.mlp.experts.2", "model.language_model.layers.18.mlp.experts.3", "model.language_model.layers.18.mlp.experts.4", "model.language_model.layers.18.mlp.experts.5", "model.language_model.layers.18.mlp.experts.6", "model.language_model.layers.18.mlp.experts.7", "model.language_model.layers.18.mlp.experts.8", "model.language_model.layers.18.mlp.experts.9", "model.language_model.layers.18.mlp.experts.10", "model.language_model.layers.18.mlp.experts.11", "model.language_model.layers.18.mlp.experts.12", "model.language_model.layers.18.mlp.experts.13", "model.language_model.layers.18.mlp.experts.14", "model.language_model.layers.18.mlp.experts.15", "model.language_model.layers.18.mlp.experts.16", "model.language_model.layers.18.mlp.experts.17", "model.language_model.layers.18.mlp.experts.18", "model.language_model.layers.18.mlp.experts.19", "model.language_model.layers.18.mlp.experts.20", "model.language_model.layers.18.mlp.experts.21", "model.language_model.layers.18.mlp.experts.22", "model.language_model.layers.18.mlp.experts.23", "model.language_model.layers.18.mlp.experts.24", "model.language_model.layers.18.mlp.experts.25", "model.language_model.layers.18.mlp.experts.26", "model.language_model.layers.18.mlp.experts.27", "model.language_model.layers.18.mlp.experts.28", "model.language_model.layers.18.mlp.experts.29", "model.language_model.layers.18.mlp.experts.30", "model.language_model.layers.18.mlp.experts.31", "model.language_model.layers.18.mlp.experts.32", "model.language_model.layers.18.mlp.experts.33", "model.language_model.layers.18.mlp.experts.34", "model.language_model.layers.18.mlp.experts.35", "model.language_model.layers.18.mlp.experts.36", "model.language_model.layers.18.mlp.experts.37", "model.language_model.layers.18.mlp.experts.38", "model.language_model.layers.18.mlp.experts.39", "model.language_model.layers.18.mlp.experts.40", "model.language_model.layers.18.mlp.experts.41", "model.language_model.layers.18.mlp.experts.42", "model.language_model.layers.18.mlp.experts.43", "model.language_model.layers.18.mlp.experts.44", "model.language_model.layers.18.mlp.experts.45", "model.language_model.layers.18.mlp.experts.46", "model.language_model.layers.18.mlp.experts.47", "model.language_model.layers.18.mlp.experts.48", "model.language_model.layers.18.mlp.experts.49", "model.language_model.layers.18.mlp.experts.50", "model.language_model.layers.18.mlp.experts.51", "model.language_model.layers.18.mlp.experts.52", "model.language_model.layers.18.mlp.experts.53", "model.language_model.layers.18.mlp.experts.54", "model.language_model.layers.18.mlp.experts.55", "model.language_model.layers.18.mlp.experts.56", "model.language_model.layers.18.mlp.experts.57", "model.language_model.layers.18.mlp.experts.58", "model.language_model.layers.18.mlp.experts.59", "model.language_model.layers.18.mlp.experts.60", "model.language_model.layers.18.mlp.experts.61", "model.language_model.layers.18.mlp.experts.62", "model.language_model.layers.18.mlp.experts.63", "model.language_model.layers.18.mlp.experts.64", "model.language_model.layers.18.mlp.experts.65", "model.language_model.layers.18.mlp.experts.66", "model.language_model.layers.18.mlp.experts.67", "model.language_model.layers.18.mlp.experts.68", "model.language_model.layers.18.mlp.experts.69", "model.language_model.layers.18.mlp.experts.70", "model.language_model.layers.18.mlp.experts.71", "model.language_model.layers.18.mlp.experts.72", "model.language_model.layers.18.mlp.experts.73", "model.language_model.layers.18.mlp.experts.74", "model.language_model.layers.18.mlp.experts.75", "model.language_model.layers.18.mlp.experts.76", "model.language_model.layers.18.mlp.experts.77", "model.language_model.layers.18.mlp.experts.78", "model.language_model.layers.18.mlp.experts.79", "model.language_model.layers.18.mlp.experts.80", "model.language_model.layers.18.mlp.experts.81", "model.language_model.layers.18.mlp.experts.82", "model.language_model.layers.18.mlp.experts.83", "model.language_model.layers.18.mlp.experts.84", "model.language_model.layers.18.mlp.experts.85", "model.language_model.layers.18.mlp.experts.86", "model.language_model.layers.18.mlp.experts.87", "model.language_model.layers.18.mlp.experts.88", "model.language_model.layers.18.mlp.experts.89", "model.language_model.layers.18.mlp.experts.90", "model.language_model.layers.18.mlp.experts.91", "model.language_model.layers.18.mlp.experts.92", "model.language_model.layers.18.mlp.experts.93", "model.language_model.layers.18.mlp.experts.94", "model.language_model.layers.18.mlp.experts.95", "model.language_model.layers.18.mlp.experts.96", "model.language_model.layers.18.mlp.experts.97", "model.language_model.layers.18.mlp.experts.98", "model.language_model.layers.18.mlp.experts.99", "model.language_model.layers.18.mlp.experts.100", "model.language_model.layers.18.mlp.experts.101", "model.language_model.layers.18.mlp.experts.102", "model.language_model.layers.18.mlp.experts.103", "model.language_model.layers.18.mlp.experts.104", "model.language_model.layers.18.mlp.experts.105", "model.language_model.layers.18.mlp.experts.106", "model.language_model.layers.18.mlp.experts.107", "model.language_model.layers.18.mlp.experts.108", "model.language_model.layers.18.mlp.experts.109", "model.language_model.layers.18.mlp.experts.110", "model.language_model.layers.18.mlp.experts.111", "model.language_model.layers.18.mlp.experts.112", "model.language_model.layers.18.mlp.experts.113", "model.language_model.layers.18.mlp.experts.114", "model.language_model.layers.18.mlp.experts.115", "model.language_model.layers.18.mlp.experts.116", "model.language_model.layers.18.mlp.experts.117", "model.language_model.layers.18.mlp.experts.118", "model.language_model.layers.18.mlp.experts.119", "model.language_model.layers.18.mlp.experts.120", "model.language_model.layers.18.mlp.experts.121", "model.language_model.layers.18.mlp.experts.122", "model.language_model.layers.18.mlp.experts.123", "model.language_model.layers.18.mlp.experts.124", "model.language_model.layers.18.mlp.experts.125", "model.language_model.layers.18.mlp.experts.126", "model.language_model.layers.18.mlp.experts.127", "model.language_model.layers.18.mlp.experts.128", "model.language_model.layers.18.mlp.experts.129", "model.language_model.layers.18.mlp.experts.130", "model.language_model.layers.18.mlp.experts.131", "model.language_model.layers.18.mlp.experts.132", "model.language_model.layers.18.mlp.experts.133", "model.language_model.layers.18.mlp.experts.134", "model.language_model.layers.18.mlp.experts.135", "model.language_model.layers.18.mlp.experts.136", "model.language_model.layers.18.mlp.experts.137", "model.language_model.layers.18.mlp.experts.138", "model.language_model.layers.18.mlp.experts.139", "model.language_model.layers.18.mlp.experts.140", "model.language_model.layers.18.mlp.experts.141", "model.language_model.layers.18.mlp.experts.142", "model.language_model.layers.18.mlp.experts.143", "model.language_model.layers.18.mlp.experts.144", "model.language_model.layers.18.mlp.experts.145", "model.language_model.layers.18.mlp.experts.146", "model.language_model.layers.18.mlp.experts.147", "model.language_model.layers.18.mlp.experts.148", "model.language_model.layers.18.mlp.experts.149", "model.language_model.layers.18.mlp.experts.150", "model.language_model.layers.18.mlp.experts.151", "model.language_model.layers.18.mlp.experts.152", "model.language_model.layers.18.mlp.experts.153", "model.language_model.layers.18.mlp.experts.154", "model.language_model.layers.18.mlp.experts.155", "model.language_model.layers.18.mlp.experts.156", "model.language_model.layers.18.mlp.experts.157", "model.language_model.layers.18.mlp.experts.158", "model.language_model.layers.18.mlp.experts.159", "model.language_model.layers.18.mlp.experts.160", "model.language_model.layers.18.mlp.experts.161", "model.language_model.layers.18.mlp.experts.162", "model.language_model.layers.18.mlp.experts.163", "model.language_model.layers.18.mlp.experts.164", "model.language_model.layers.18.mlp.experts.165", "model.language_model.layers.18.mlp.experts.166", "model.language_model.layers.18.mlp.experts.167", "model.language_model.layers.18.mlp.experts.168", "model.language_model.layers.18.mlp.experts.169", "model.language_model.layers.18.mlp.experts.170", "model.language_model.layers.18.mlp.experts.171", "model.language_model.layers.18.mlp.experts.172", "model.language_model.layers.18.mlp.experts.173", "model.language_model.layers.18.mlp.experts.174", "model.language_model.layers.18.mlp.experts.175", "model.language_model.layers.18.mlp.experts.176", "model.language_model.layers.18.mlp.experts.177", "model.language_model.layers.18.mlp.experts.178", "model.language_model.layers.18.mlp.experts.179", "model.language_model.layers.18.mlp.experts.180", "model.language_model.layers.18.mlp.experts.181", "model.language_model.layers.18.mlp.experts.182", "model.language_model.layers.18.mlp.experts.183", "model.language_model.layers.18.mlp.experts.184", "model.language_model.layers.18.mlp.experts.185", "model.language_model.layers.18.mlp.experts.186", "model.language_model.layers.18.mlp.experts.187", "model.language_model.layers.18.mlp.experts.188", "model.language_model.layers.18.mlp.experts.189", "model.language_model.layers.18.mlp.experts.190", "model.language_model.layers.18.mlp.experts.191", "model.language_model.layers.18.mlp.experts.192", "model.language_model.layers.18.mlp.experts.193", "model.language_model.layers.18.mlp.experts.194", "model.language_model.layers.18.mlp.experts.195", "model.language_model.layers.18.mlp.experts.196", "model.language_model.layers.18.mlp.experts.197", "model.language_model.layers.18.mlp.experts.198", "model.language_model.layers.18.mlp.experts.199", "model.language_model.layers.18.mlp.experts.200", "model.language_model.layers.18.mlp.experts.201", "model.language_model.layers.18.mlp.experts.202", "model.language_model.layers.18.mlp.experts.203", "model.language_model.layers.18.mlp.experts.204", "model.language_model.layers.18.mlp.experts.205", "model.language_model.layers.18.mlp.experts.206", "model.language_model.layers.18.mlp.experts.207", "model.language_model.layers.18.mlp.experts.208", "model.language_model.layers.18.mlp.experts.209", "model.language_model.layers.18.mlp.experts.210", "model.language_model.layers.18.mlp.experts.211", "model.language_model.layers.18.mlp.experts.212", "model.language_model.layers.18.mlp.experts.213", "model.language_model.layers.18.mlp.experts.214", "model.language_model.layers.18.mlp.experts.215", "model.language_model.layers.18.mlp.experts.216", "model.language_model.layers.18.mlp.experts.217", "model.language_model.layers.18.mlp.experts.218", "model.language_model.layers.18.mlp.experts.219", "model.language_model.layers.18.mlp.experts.220", "model.language_model.layers.18.mlp.experts.221", "model.language_model.layers.18.mlp.experts.222", "model.language_model.layers.18.mlp.experts.223", "model.language_model.layers.18.mlp.experts.224", "model.language_model.layers.18.mlp.experts.225", "model.language_model.layers.18.mlp.experts.226", "model.language_model.layers.18.mlp.experts.227", "model.language_model.layers.18.mlp.experts.228", "model.language_model.layers.18.mlp.experts.229", "model.language_model.layers.18.mlp.experts.230", "model.language_model.layers.18.mlp.experts.231", "model.language_model.layers.18.mlp.experts.232", "model.language_model.layers.18.mlp.experts.233", "model.language_model.layers.18.mlp.experts.234", "model.language_model.layers.18.mlp.experts.235", "model.language_model.layers.18.mlp.experts.236", "model.language_model.layers.18.mlp.experts.237", "model.language_model.layers.18.mlp.experts.238", "model.language_model.layers.18.mlp.experts.239", "model.language_model.layers.18.mlp.experts.240", "model.language_model.layers.18.mlp.experts.241", "model.language_model.layers.18.mlp.experts.242", "model.language_model.layers.18.mlp.experts.243", "model.language_model.layers.18.mlp.experts.244", "model.language_model.layers.18.mlp.experts.245", "model.language_model.layers.18.mlp.experts.246", "model.language_model.layers.18.mlp.experts.247", "model.language_model.layers.18.mlp.experts.248", "model.language_model.layers.18.mlp.experts.249", "model.language_model.layers.18.mlp.experts.250", "model.language_model.layers.18.mlp.experts.251", "model.language_model.layers.18.mlp.experts.252", "model.language_model.layers.18.mlp.experts.253", "model.language_model.layers.18.mlp.experts.254", "model.language_model.layers.18.mlp.experts.255", "model.language_model.layers.18.mlp.shared_expert_gate", "model.language_model.layers.19.mlp.gate", "model.language_model.layers.19.mlp.experts.0", "model.language_model.layers.19.mlp.experts.1", "model.language_model.layers.19.mlp.experts.2", "model.language_model.layers.19.mlp.experts.3", "model.language_model.layers.19.mlp.experts.4", "model.language_model.layers.19.mlp.experts.5", "model.language_model.layers.19.mlp.experts.6", "model.language_model.layers.19.mlp.experts.7", "model.language_model.layers.19.mlp.experts.8", "model.language_model.layers.19.mlp.experts.9", "model.language_model.layers.19.mlp.experts.10", "model.language_model.layers.19.mlp.experts.11", "model.language_model.layers.19.mlp.experts.12", "model.language_model.layers.19.mlp.experts.13", "model.language_model.layers.19.mlp.experts.14", "model.language_model.layers.19.mlp.experts.15", "model.language_model.layers.19.mlp.experts.16", "model.language_model.layers.19.mlp.experts.17", "model.language_model.layers.19.mlp.experts.18", "model.language_model.layers.19.mlp.experts.19", "model.language_model.layers.19.mlp.experts.20", "model.language_model.layers.19.mlp.experts.21", "model.language_model.layers.19.mlp.experts.22", "model.language_model.layers.19.mlp.experts.23", "model.language_model.layers.19.mlp.experts.24", "model.language_model.layers.19.mlp.experts.25", "model.language_model.layers.19.mlp.experts.26", "model.language_model.layers.19.mlp.experts.27", "model.language_model.layers.19.mlp.experts.28", "model.language_model.layers.19.mlp.experts.29", "model.language_model.layers.19.mlp.experts.30", "model.language_model.layers.19.mlp.experts.31", "model.language_model.layers.19.mlp.experts.32", "model.language_model.layers.19.mlp.experts.33", "model.language_model.layers.19.mlp.experts.34", "model.language_model.layers.19.mlp.experts.35", "model.language_model.layers.19.mlp.experts.36", "model.language_model.layers.19.mlp.experts.37", "model.language_model.layers.19.mlp.experts.38", "model.language_model.layers.19.mlp.experts.39", "model.language_model.layers.19.mlp.experts.40", "model.language_model.layers.19.mlp.experts.41", "model.language_model.layers.19.mlp.experts.42", "model.language_model.layers.19.mlp.experts.43", "model.language_model.layers.19.mlp.experts.44", "model.language_model.layers.19.mlp.experts.45", "model.language_model.layers.19.mlp.experts.46", "model.language_model.layers.19.mlp.experts.47", "model.language_model.layers.19.mlp.experts.48", "model.language_model.layers.19.mlp.experts.49", "model.language_model.layers.19.mlp.experts.50", "model.language_model.layers.19.mlp.experts.51", "model.language_model.layers.19.mlp.experts.52", "model.language_model.layers.19.mlp.experts.53", "model.language_model.layers.19.mlp.experts.54", "model.language_model.layers.19.mlp.experts.55", "model.language_model.layers.19.mlp.experts.56", "model.language_model.layers.19.mlp.experts.57", "model.language_model.layers.19.mlp.experts.58", "model.language_model.layers.19.mlp.experts.59", "model.language_model.layers.19.mlp.experts.60", "model.language_model.layers.19.mlp.experts.61", "model.language_model.layers.19.mlp.experts.62", "model.language_model.layers.19.mlp.experts.63", "model.language_model.layers.19.mlp.experts.64", "model.language_model.layers.19.mlp.experts.65", "model.language_model.layers.19.mlp.experts.66", "model.language_model.layers.19.mlp.experts.67", "model.language_model.layers.19.mlp.experts.68", "model.language_model.layers.19.mlp.experts.69", "model.language_model.layers.19.mlp.experts.70", "model.language_model.layers.19.mlp.experts.71", "model.language_model.layers.19.mlp.experts.72", "model.language_model.layers.19.mlp.experts.73", "model.language_model.layers.19.mlp.experts.74", "model.language_model.layers.19.mlp.experts.75", "model.language_model.layers.19.mlp.experts.76", "model.language_model.layers.19.mlp.experts.77", "model.language_model.layers.19.mlp.experts.78", "model.language_model.layers.19.mlp.experts.79", "model.language_model.layers.19.mlp.experts.80", "model.language_model.layers.19.mlp.experts.81", "model.language_model.layers.19.mlp.experts.82", "model.language_model.layers.19.mlp.experts.83", "model.language_model.layers.19.mlp.experts.84", "model.language_model.layers.19.mlp.experts.85", "model.language_model.layers.19.mlp.experts.86", "model.language_model.layers.19.mlp.experts.87", "model.language_model.layers.19.mlp.experts.88", "model.language_model.layers.19.mlp.experts.89", "model.language_model.layers.19.mlp.experts.90", "model.language_model.layers.19.mlp.experts.91", "model.language_model.layers.19.mlp.experts.92", "model.language_model.layers.19.mlp.experts.93", "model.language_model.layers.19.mlp.experts.94", "model.language_model.layers.19.mlp.experts.95", "model.language_model.layers.19.mlp.experts.96", "model.language_model.layers.19.mlp.experts.97", "model.language_model.layers.19.mlp.experts.98", "model.language_model.layers.19.mlp.experts.99", "model.language_model.layers.19.mlp.experts.100", "model.language_model.layers.19.mlp.experts.101", "model.language_model.layers.19.mlp.experts.102", "model.language_model.layers.19.mlp.experts.103", "model.language_model.layers.19.mlp.experts.104", "model.language_model.layers.19.mlp.experts.105", "model.language_model.layers.19.mlp.experts.106", "model.language_model.layers.19.mlp.experts.107", "model.language_model.layers.19.mlp.experts.108", "model.language_model.layers.19.mlp.experts.109", "model.language_model.layers.19.mlp.experts.110", "model.language_model.layers.19.mlp.experts.111", "model.language_model.layers.19.mlp.experts.112", "model.language_model.layers.19.mlp.experts.113", "model.language_model.layers.19.mlp.experts.114", "model.language_model.layers.19.mlp.experts.115", "model.language_model.layers.19.mlp.experts.116", "model.language_model.layers.19.mlp.experts.117", "model.language_model.layers.19.mlp.experts.118", "model.language_model.layers.19.mlp.experts.119", "model.language_model.layers.19.mlp.experts.120", "model.language_model.layers.19.mlp.experts.121", "model.language_model.layers.19.mlp.experts.122", "model.language_model.layers.19.mlp.experts.123", "model.language_model.layers.19.mlp.experts.124", "model.language_model.layers.19.mlp.experts.125", "model.language_model.layers.19.mlp.experts.126", "model.language_model.layers.19.mlp.experts.127", "model.language_model.layers.19.mlp.experts.128", "model.language_model.layers.19.mlp.experts.129", "model.language_model.layers.19.mlp.experts.130", "model.language_model.layers.19.mlp.experts.131", "model.language_model.layers.19.mlp.experts.132", "model.language_model.layers.19.mlp.experts.133", "model.language_model.layers.19.mlp.experts.134", "model.language_model.layers.19.mlp.experts.135", "model.language_model.layers.19.mlp.experts.136", "model.language_model.layers.19.mlp.experts.137", "model.language_model.layers.19.mlp.experts.138", "model.language_model.layers.19.mlp.experts.139", "model.language_model.layers.19.mlp.experts.140", "model.language_model.layers.19.mlp.experts.141", "model.language_model.layers.19.mlp.experts.142", "model.language_model.layers.19.mlp.experts.143", "model.language_model.layers.19.mlp.experts.144", "model.language_model.layers.19.mlp.experts.145", "model.language_model.layers.19.mlp.experts.146", "model.language_model.layers.19.mlp.experts.147", "model.language_model.layers.19.mlp.experts.148", "model.language_model.layers.19.mlp.experts.149", "model.language_model.layers.19.mlp.experts.150", "model.language_model.layers.19.mlp.experts.151", "model.language_model.layers.19.mlp.experts.152", "model.language_model.layers.19.mlp.experts.153", "model.language_model.layers.19.mlp.experts.154", "model.language_model.layers.19.mlp.experts.155", "model.language_model.layers.19.mlp.experts.156", "model.language_model.layers.19.mlp.experts.157", "model.language_model.layers.19.mlp.experts.158", "model.language_model.layers.19.mlp.experts.159", "model.language_model.layers.19.mlp.experts.160", "model.language_model.layers.19.mlp.experts.161", "model.language_model.layers.19.mlp.experts.162", "model.language_model.layers.19.mlp.experts.163", "model.language_model.layers.19.mlp.experts.164", "model.language_model.layers.19.mlp.experts.165", "model.language_model.layers.19.mlp.experts.166", "model.language_model.layers.19.mlp.experts.167", "model.language_model.layers.19.mlp.experts.168", "model.language_model.layers.19.mlp.experts.169", "model.language_model.layers.19.mlp.experts.170", "model.language_model.layers.19.mlp.experts.171", "model.language_model.layers.19.mlp.experts.172", "model.language_model.layers.19.mlp.experts.173", "model.language_model.layers.19.mlp.experts.174", "model.language_model.layers.19.mlp.experts.175", "model.language_model.layers.19.mlp.experts.176", "model.language_model.layers.19.mlp.experts.177", "model.language_model.layers.19.mlp.experts.178", "model.language_model.layers.19.mlp.experts.179", "model.language_model.layers.19.mlp.experts.180", "model.language_model.layers.19.mlp.experts.181", "model.language_model.layers.19.mlp.experts.182", "model.language_model.layers.19.mlp.experts.183", "model.language_model.layers.19.mlp.experts.184", "model.language_model.layers.19.mlp.experts.185", "model.language_model.layers.19.mlp.experts.186", "model.language_model.layers.19.mlp.experts.187", "model.language_model.layers.19.mlp.experts.188", "model.language_model.layers.19.mlp.experts.189", "model.language_model.layers.19.mlp.experts.190", "model.language_model.layers.19.mlp.experts.191", "model.language_model.layers.19.mlp.experts.192", "model.language_model.layers.19.mlp.experts.193", "model.language_model.layers.19.mlp.experts.194", "model.language_model.layers.19.mlp.experts.195", "model.language_model.layers.19.mlp.experts.196", "model.language_model.layers.19.mlp.experts.197", "model.language_model.layers.19.mlp.experts.198", "model.language_model.layers.19.mlp.experts.199", "model.language_model.layers.19.mlp.experts.200", "model.language_model.layers.19.mlp.experts.201", "model.language_model.layers.19.mlp.experts.202", "model.language_model.layers.19.mlp.experts.203", "model.language_model.layers.19.mlp.experts.204", "model.language_model.layers.19.mlp.experts.205", "model.language_model.layers.19.mlp.experts.206", "model.language_model.layers.19.mlp.experts.207", "model.language_model.layers.19.mlp.experts.208", "model.language_model.layers.19.mlp.experts.209", "model.language_model.layers.19.mlp.experts.210", "model.language_model.layers.19.mlp.experts.211", "model.language_model.layers.19.mlp.experts.212", "model.language_model.layers.19.mlp.experts.213", "model.language_model.layers.19.mlp.experts.214", "model.language_model.layers.19.mlp.experts.215", "model.language_model.layers.19.mlp.experts.216", "model.language_model.layers.19.mlp.experts.217", "model.language_model.layers.19.mlp.experts.218", "model.language_model.layers.19.mlp.experts.219", "model.language_model.layers.19.mlp.experts.220", "model.language_model.layers.19.mlp.experts.221", "model.language_model.layers.19.mlp.experts.222", "model.language_model.layers.19.mlp.experts.223", "model.language_model.layers.19.mlp.experts.224", "model.language_model.layers.19.mlp.experts.225", "model.language_model.layers.19.mlp.experts.226", "model.language_model.layers.19.mlp.experts.227", "model.language_model.layers.19.mlp.experts.228", "model.language_model.layers.19.mlp.experts.229", "model.language_model.layers.19.mlp.experts.230", "model.language_model.layers.19.mlp.experts.231", "model.language_model.layers.19.mlp.experts.232", "model.language_model.layers.19.mlp.experts.233", "model.language_model.layers.19.mlp.experts.234", "model.language_model.layers.19.mlp.experts.235", "model.language_model.layers.19.mlp.experts.236", "model.language_model.layers.19.mlp.experts.237", "model.language_model.layers.19.mlp.experts.238", "model.language_model.layers.19.mlp.experts.239", "model.language_model.layers.19.mlp.experts.240", "model.language_model.layers.19.mlp.experts.241", "model.language_model.layers.19.mlp.experts.242", "model.language_model.layers.19.mlp.experts.243", "model.language_model.layers.19.mlp.experts.244", "model.language_model.layers.19.mlp.experts.245", "model.language_model.layers.19.mlp.experts.246", "model.language_model.layers.19.mlp.experts.247", "model.language_model.layers.19.mlp.experts.248", "model.language_model.layers.19.mlp.experts.249", "model.language_model.layers.19.mlp.experts.250", "model.language_model.layers.19.mlp.experts.251", "model.language_model.layers.19.mlp.experts.252", "model.language_model.layers.19.mlp.experts.253", "model.language_model.layers.19.mlp.experts.254", "model.language_model.layers.19.mlp.experts.255", "model.language_model.layers.19.mlp.shared_expert_gate", "model.language_model.layers.20.linear_attn", "model.language_model.layers.20.linear_attn.norm", "model.language_model.layers.20.linear_attn.in_proj_b", "model.language_model.layers.20.linear_attn.in_proj_a", "model.language_model.layers.20.mlp.gate", "model.language_model.layers.20.mlp.experts.0", "model.language_model.layers.20.mlp.experts.1", "model.language_model.layers.20.mlp.experts.2", "model.language_model.layers.20.mlp.experts.3", "model.language_model.layers.20.mlp.experts.4", "model.language_model.layers.20.mlp.experts.5", "model.language_model.layers.20.mlp.experts.6", "model.language_model.layers.20.mlp.experts.7", "model.language_model.layers.20.mlp.experts.8", "model.language_model.layers.20.mlp.experts.9", "model.language_model.layers.20.mlp.experts.10", "model.language_model.layers.20.mlp.experts.11", "model.language_model.layers.20.mlp.experts.12", "model.language_model.layers.20.mlp.experts.13", "model.language_model.layers.20.mlp.experts.14", "model.language_model.layers.20.mlp.experts.15", "model.language_model.layers.20.mlp.experts.16", "model.language_model.layers.20.mlp.experts.17", "model.language_model.layers.20.mlp.experts.18", "model.language_model.layers.20.mlp.experts.19", "model.language_model.layers.20.mlp.experts.20", "model.language_model.layers.20.mlp.experts.21", "model.language_model.layers.20.mlp.experts.22", "model.language_model.layers.20.mlp.experts.23", "model.language_model.layers.20.mlp.experts.24", "model.language_model.layers.20.mlp.experts.25", "model.language_model.layers.20.mlp.experts.26", "model.language_model.layers.20.mlp.experts.27", "model.language_model.layers.20.mlp.experts.28", "model.language_model.layers.20.mlp.experts.29", "model.language_model.layers.20.mlp.experts.30", "model.language_model.layers.20.mlp.experts.31", "model.language_model.layers.20.mlp.experts.32", "model.language_model.layers.20.mlp.experts.33", "model.language_model.layers.20.mlp.experts.34", "model.language_model.layers.20.mlp.experts.35", "model.language_model.layers.20.mlp.experts.36", "model.language_model.layers.20.mlp.experts.37", "model.language_model.layers.20.mlp.experts.38", "model.language_model.layers.20.mlp.experts.39", "model.language_model.layers.20.mlp.experts.40", "model.language_model.layers.20.mlp.experts.41", "model.language_model.layers.20.mlp.experts.42", "model.language_model.layers.20.mlp.experts.43", "model.language_model.layers.20.mlp.experts.44", "model.language_model.layers.20.mlp.experts.45", "model.language_model.layers.20.mlp.experts.46", "model.language_model.layers.20.mlp.experts.47", "model.language_model.layers.20.mlp.experts.48", "model.language_model.layers.20.mlp.experts.49", "model.language_model.layers.20.mlp.experts.50", "model.language_model.layers.20.mlp.experts.51", "model.language_model.layers.20.mlp.experts.52", "model.language_model.layers.20.mlp.experts.53", "model.language_model.layers.20.mlp.experts.54", "model.language_model.layers.20.mlp.experts.55", "model.language_model.layers.20.mlp.experts.56", "model.language_model.layers.20.mlp.experts.57", "model.language_model.layers.20.mlp.experts.58", "model.language_model.layers.20.mlp.experts.59", "model.language_model.layers.20.mlp.experts.60", "model.language_model.layers.20.mlp.experts.61", "model.language_model.layers.20.mlp.experts.62", "model.language_model.layers.20.mlp.experts.63", "model.language_model.layers.20.mlp.experts.64", "model.language_model.layers.20.mlp.experts.65", "model.language_model.layers.20.mlp.experts.66", "model.language_model.layers.20.mlp.experts.67", "model.language_model.layers.20.mlp.experts.68", "model.language_model.layers.20.mlp.experts.69", "model.language_model.layers.20.mlp.experts.70", "model.language_model.layers.20.mlp.experts.71", "model.language_model.layers.20.mlp.experts.72", "model.language_model.layers.20.mlp.experts.73", "model.language_model.layers.20.mlp.experts.74", "model.language_model.layers.20.mlp.experts.75", "model.language_model.layers.20.mlp.experts.76", "model.language_model.layers.20.mlp.experts.77", "model.language_model.layers.20.mlp.experts.78", "model.language_model.layers.20.mlp.experts.79", "model.language_model.layers.20.mlp.experts.80", "model.language_model.layers.20.mlp.experts.81", "model.language_model.layers.20.mlp.experts.82", "model.language_model.layers.20.mlp.experts.83", "model.language_model.layers.20.mlp.experts.84", "model.language_model.layers.20.mlp.experts.85", "model.language_model.layers.20.mlp.experts.86", "model.language_model.layers.20.mlp.experts.87", "model.language_model.layers.20.mlp.experts.88", "model.language_model.layers.20.mlp.experts.89", "model.language_model.layers.20.mlp.experts.90", "model.language_model.layers.20.mlp.experts.91", "model.language_model.layers.20.mlp.experts.92", "model.language_model.layers.20.mlp.experts.93", "model.language_model.layers.20.mlp.experts.94", "model.language_model.layers.20.mlp.experts.95", "model.language_model.layers.20.mlp.experts.96", "model.language_model.layers.20.mlp.experts.97", "model.language_model.layers.20.mlp.experts.98", "model.language_model.layers.20.mlp.experts.99", "model.language_model.layers.20.mlp.experts.100", "model.language_model.layers.20.mlp.experts.101", "model.language_model.layers.20.mlp.experts.102", "model.language_model.layers.20.mlp.experts.103", "model.language_model.layers.20.mlp.experts.104", "model.language_model.layers.20.mlp.experts.105", "model.language_model.layers.20.mlp.experts.106", "model.language_model.layers.20.mlp.experts.107", "model.language_model.layers.20.mlp.experts.108", "model.language_model.layers.20.mlp.experts.109", "model.language_model.layers.20.mlp.experts.110", "model.language_model.layers.20.mlp.experts.111", "model.language_model.layers.20.mlp.experts.112", "model.language_model.layers.20.mlp.experts.113", "model.language_model.layers.20.mlp.experts.114", "model.language_model.layers.20.mlp.experts.115", "model.language_model.layers.20.mlp.experts.116", "model.language_model.layers.20.mlp.experts.117", "model.language_model.layers.20.mlp.experts.118", "model.language_model.layers.20.mlp.experts.119", "model.language_model.layers.20.mlp.experts.120", "model.language_model.layers.20.mlp.experts.121", "model.language_model.layers.20.mlp.experts.122", "model.language_model.layers.20.mlp.experts.123", "model.language_model.layers.20.mlp.experts.124", "model.language_model.layers.20.mlp.experts.125", "model.language_model.layers.20.mlp.experts.126", "model.language_model.layers.20.mlp.experts.127", "model.language_model.layers.20.mlp.experts.128", "model.language_model.layers.20.mlp.experts.129", "model.language_model.layers.20.mlp.experts.130", "model.language_model.layers.20.mlp.experts.131", "model.language_model.layers.20.mlp.experts.132", "model.language_model.layers.20.mlp.experts.133", "model.language_model.layers.20.mlp.experts.134", "model.language_model.layers.20.mlp.experts.135", "model.language_model.layers.20.mlp.experts.136", "model.language_model.layers.20.mlp.experts.137", "model.language_model.layers.20.mlp.experts.138", "model.language_model.layers.20.mlp.experts.139", "model.language_model.layers.20.mlp.experts.140", "model.language_model.layers.20.mlp.experts.141", "model.language_model.layers.20.mlp.experts.142", "model.language_model.layers.20.mlp.experts.143", "model.language_model.layers.20.mlp.experts.144", "model.language_model.layers.20.mlp.experts.145", "model.language_model.layers.20.mlp.experts.146", "model.language_model.layers.20.mlp.experts.147", "model.language_model.layers.20.mlp.experts.148", "model.language_model.layers.20.mlp.experts.149", "model.language_model.layers.20.mlp.experts.150", "model.language_model.layers.20.mlp.experts.151", "model.language_model.layers.20.mlp.experts.152", "model.language_model.layers.20.mlp.experts.153", "model.language_model.layers.20.mlp.experts.154", "model.language_model.layers.20.mlp.experts.155", "model.language_model.layers.20.mlp.experts.156", "model.language_model.layers.20.mlp.experts.157", "model.language_model.layers.20.mlp.experts.158", "model.language_model.layers.20.mlp.experts.159", "model.language_model.layers.20.mlp.experts.160", "model.language_model.layers.20.mlp.experts.161", "model.language_model.layers.20.mlp.experts.162", "model.language_model.layers.20.mlp.experts.163", "model.language_model.layers.20.mlp.experts.164", "model.language_model.layers.20.mlp.experts.165", "model.language_model.layers.20.mlp.experts.166", "model.language_model.layers.20.mlp.experts.167", "model.language_model.layers.20.mlp.experts.168", "model.language_model.layers.20.mlp.experts.169", "model.language_model.layers.20.mlp.experts.170", "model.language_model.layers.20.mlp.experts.171", "model.language_model.layers.20.mlp.experts.172", "model.language_model.layers.20.mlp.experts.173", "model.language_model.layers.20.mlp.experts.174", "model.language_model.layers.20.mlp.experts.175", "model.language_model.layers.20.mlp.experts.176", "model.language_model.layers.20.mlp.experts.177", "model.language_model.layers.20.mlp.experts.178", "model.language_model.layers.20.mlp.experts.179", "model.language_model.layers.20.mlp.experts.180", "model.language_model.layers.20.mlp.experts.181", "model.language_model.layers.20.mlp.experts.182", "model.language_model.layers.20.mlp.experts.183", "model.language_model.layers.20.mlp.experts.184", "model.language_model.layers.20.mlp.experts.185", "model.language_model.layers.20.mlp.experts.186", "model.language_model.layers.20.mlp.experts.187", "model.language_model.layers.20.mlp.experts.188", "model.language_model.layers.20.mlp.experts.189", "model.language_model.layers.20.mlp.experts.190", "model.language_model.layers.20.mlp.experts.191", "model.language_model.layers.20.mlp.experts.192", "model.language_model.layers.20.mlp.experts.193", "model.language_model.layers.20.mlp.experts.194", "model.language_model.layers.20.mlp.experts.195", "model.language_model.layers.20.mlp.experts.196", "model.language_model.layers.20.mlp.experts.197", "model.language_model.layers.20.mlp.experts.198", "model.language_model.layers.20.mlp.experts.199", "model.language_model.layers.20.mlp.experts.200", "model.language_model.layers.20.mlp.experts.201", "model.language_model.layers.20.mlp.experts.202", "model.language_model.layers.20.mlp.experts.203", "model.language_model.layers.20.mlp.experts.204", "model.language_model.layers.20.mlp.experts.205", "model.language_model.layers.20.mlp.experts.206", "model.language_model.layers.20.mlp.experts.207", "model.language_model.layers.20.mlp.experts.208", "model.language_model.layers.20.mlp.experts.209", "model.language_model.layers.20.mlp.experts.210", "model.language_model.layers.20.mlp.experts.211", "model.language_model.layers.20.mlp.experts.212", "model.language_model.layers.20.mlp.experts.213", "model.language_model.layers.20.mlp.experts.214", "model.language_model.layers.20.mlp.experts.215", "model.language_model.layers.20.mlp.experts.216", "model.language_model.layers.20.mlp.experts.217", "model.language_model.layers.20.mlp.experts.218", "model.language_model.layers.20.mlp.experts.219", "model.language_model.layers.20.mlp.experts.220", "model.language_model.layers.20.mlp.experts.221", "model.language_model.layers.20.mlp.experts.222", "model.language_model.layers.20.mlp.experts.223", "model.language_model.layers.20.mlp.experts.224", "model.language_model.layers.20.mlp.experts.225", "model.language_model.layers.20.mlp.experts.226", "model.language_model.layers.20.mlp.experts.227", "model.language_model.layers.20.mlp.experts.228", "model.language_model.layers.20.mlp.experts.229", "model.language_model.layers.20.mlp.experts.230", "model.language_model.layers.20.mlp.experts.231", "model.language_model.layers.20.mlp.experts.232", "model.language_model.layers.20.mlp.experts.233", "model.language_model.layers.20.mlp.experts.234", "model.language_model.layers.20.mlp.experts.235", "model.language_model.layers.20.mlp.experts.236", "model.language_model.layers.20.mlp.experts.237", "model.language_model.layers.20.mlp.experts.238", "model.language_model.layers.20.mlp.experts.239", "model.language_model.layers.20.mlp.experts.240", "model.language_model.layers.20.mlp.experts.241", "model.language_model.layers.20.mlp.experts.242", "model.language_model.layers.20.mlp.experts.243", "model.language_model.layers.20.mlp.experts.244", "model.language_model.layers.20.mlp.experts.245", "model.language_model.layers.20.mlp.experts.246", "model.language_model.layers.20.mlp.experts.247", "model.language_model.layers.20.mlp.experts.248", "model.language_model.layers.20.mlp.experts.249", "model.language_model.layers.20.mlp.experts.250", "model.language_model.layers.20.mlp.experts.251", "model.language_model.layers.20.mlp.experts.252", "model.language_model.layers.20.mlp.experts.253", "model.language_model.layers.20.mlp.experts.254", "model.language_model.layers.20.mlp.experts.255", "model.language_model.layers.20.mlp.shared_expert_gate", "model.language_model.layers.21.linear_attn", "model.language_model.layers.21.linear_attn.norm", "model.language_model.layers.21.linear_attn.in_proj_b", "model.language_model.layers.21.linear_attn.in_proj_a", "model.language_model.layers.21.mlp.gate", "model.language_model.layers.21.mlp.experts.0", "model.language_model.layers.21.mlp.experts.1", "model.language_model.layers.21.mlp.experts.2", "model.language_model.layers.21.mlp.experts.3", "model.language_model.layers.21.mlp.experts.4", "model.language_model.layers.21.mlp.experts.5", "model.language_model.layers.21.mlp.experts.6", "model.language_model.layers.21.mlp.experts.7", "model.language_model.layers.21.mlp.experts.8", "model.language_model.layers.21.mlp.experts.9", "model.language_model.layers.21.mlp.experts.10", "model.language_model.layers.21.mlp.experts.11", "model.language_model.layers.21.mlp.experts.12", "model.language_model.layers.21.mlp.experts.13", "model.language_model.layers.21.mlp.experts.14", "model.language_model.layers.21.mlp.experts.15", "model.language_model.layers.21.mlp.experts.16", "model.language_model.layers.21.mlp.experts.17", "model.language_model.layers.21.mlp.experts.18", "model.language_model.layers.21.mlp.experts.19", "model.language_model.layers.21.mlp.experts.20", "model.language_model.layers.21.mlp.experts.21", "model.language_model.layers.21.mlp.experts.22", "model.language_model.layers.21.mlp.experts.23", "model.language_model.layers.21.mlp.experts.24", "model.language_model.layers.21.mlp.experts.25", "model.language_model.layers.21.mlp.experts.26", "model.language_model.layers.21.mlp.experts.27", "model.language_model.layers.21.mlp.experts.28", "model.language_model.layers.21.mlp.experts.29", "model.language_model.layers.21.mlp.experts.30", "model.language_model.layers.21.mlp.experts.31", "model.language_model.layers.21.mlp.experts.32", "model.language_model.layers.21.mlp.experts.33", "model.language_model.layers.21.mlp.experts.34", "model.language_model.layers.21.mlp.experts.35", "model.language_model.layers.21.mlp.experts.36", "model.language_model.layers.21.mlp.experts.37", "model.language_model.layers.21.mlp.experts.38", "model.language_model.layers.21.mlp.experts.39", "model.language_model.layers.21.mlp.experts.40", "model.language_model.layers.21.mlp.experts.41", "model.language_model.layers.21.mlp.experts.42", "model.language_model.layers.21.mlp.experts.43", "model.language_model.layers.21.mlp.experts.44", "model.language_model.layers.21.mlp.experts.45", "model.language_model.layers.21.mlp.experts.46", "model.language_model.layers.21.mlp.experts.47", "model.language_model.layers.21.mlp.experts.48", "model.language_model.layers.21.mlp.experts.49", "model.language_model.layers.21.mlp.experts.50", "model.language_model.layers.21.mlp.experts.51", "model.language_model.layers.21.mlp.experts.52", "model.language_model.layers.21.mlp.experts.53", "model.language_model.layers.21.mlp.experts.54", "model.language_model.layers.21.mlp.experts.55", "model.language_model.layers.21.mlp.experts.56", "model.language_model.layers.21.mlp.experts.57", "model.language_model.layers.21.mlp.experts.58", "model.language_model.layers.21.mlp.experts.59", "model.language_model.layers.21.mlp.experts.60", "model.language_model.layers.21.mlp.experts.61", "model.language_model.layers.21.mlp.experts.62", "model.language_model.layers.21.mlp.experts.63", "model.language_model.layers.21.mlp.experts.64", "model.language_model.layers.21.mlp.experts.65", "model.language_model.layers.21.mlp.experts.66", "model.language_model.layers.21.mlp.experts.67", "model.language_model.layers.21.mlp.experts.68", "model.language_model.layers.21.mlp.experts.69", "model.language_model.layers.21.mlp.experts.70", "model.language_model.layers.21.mlp.experts.71", "model.language_model.layers.21.mlp.experts.72", "model.language_model.layers.21.mlp.experts.73", "model.language_model.layers.21.mlp.experts.74", "model.language_model.layers.21.mlp.experts.75", "model.language_model.layers.21.mlp.experts.76", "model.language_model.layers.21.mlp.experts.77", "model.language_model.layers.21.mlp.experts.78", "model.language_model.layers.21.mlp.experts.79", "model.language_model.layers.21.mlp.experts.80", "model.language_model.layers.21.mlp.experts.81", "model.language_model.layers.21.mlp.experts.82", "model.language_model.layers.21.mlp.experts.83", "model.language_model.layers.21.mlp.experts.84", "model.language_model.layers.21.mlp.experts.85", "model.language_model.layers.21.mlp.experts.86", "model.language_model.layers.21.mlp.experts.87", "model.language_model.layers.21.mlp.experts.88", "model.language_model.layers.21.mlp.experts.89", "model.language_model.layers.21.mlp.experts.90", "model.language_model.layers.21.mlp.experts.91", "model.language_model.layers.21.mlp.experts.92", "model.language_model.layers.21.mlp.experts.93", "model.language_model.layers.21.mlp.experts.94", "model.language_model.layers.21.mlp.experts.95", "model.language_model.layers.21.mlp.experts.96", "model.language_model.layers.21.mlp.experts.97", "model.language_model.layers.21.mlp.experts.98", "model.language_model.layers.21.mlp.experts.99", "model.language_model.layers.21.mlp.experts.100", "model.language_model.layers.21.mlp.experts.101", "model.language_model.layers.21.mlp.experts.102", "model.language_model.layers.21.mlp.experts.103", "model.language_model.layers.21.mlp.experts.104", "model.language_model.layers.21.mlp.experts.105", "model.language_model.layers.21.mlp.experts.106", "model.language_model.layers.21.mlp.experts.107", "model.language_model.layers.21.mlp.experts.108", "model.language_model.layers.21.mlp.experts.109", "model.language_model.layers.21.mlp.experts.110", "model.language_model.layers.21.mlp.experts.111", "model.language_model.layers.21.mlp.experts.112", "model.language_model.layers.21.mlp.experts.113", "model.language_model.layers.21.mlp.experts.114", "model.language_model.layers.21.mlp.experts.115", "model.language_model.layers.21.mlp.experts.116", "model.language_model.layers.21.mlp.experts.117", "model.language_model.layers.21.mlp.experts.118", "model.language_model.layers.21.mlp.experts.119", "model.language_model.layers.21.mlp.experts.120", "model.language_model.layers.21.mlp.experts.121", "model.language_model.layers.21.mlp.experts.122", "model.language_model.layers.21.mlp.experts.123", "model.language_model.layers.21.mlp.experts.124", "model.language_model.layers.21.mlp.experts.125", "model.language_model.layers.21.mlp.experts.126", "model.language_model.layers.21.mlp.experts.127", "model.language_model.layers.21.mlp.experts.128", "model.language_model.layers.21.mlp.experts.129", "model.language_model.layers.21.mlp.experts.130", "model.language_model.layers.21.mlp.experts.131", "model.language_model.layers.21.mlp.experts.132", "model.language_model.layers.21.mlp.experts.133", "model.language_model.layers.21.mlp.experts.134", "model.language_model.layers.21.mlp.experts.135", "model.language_model.layers.21.mlp.experts.136", "model.language_model.layers.21.mlp.experts.137", "model.language_model.layers.21.mlp.experts.138", "model.language_model.layers.21.mlp.experts.139", "model.language_model.layers.21.mlp.experts.140", "model.language_model.layers.21.mlp.experts.141", "model.language_model.layers.21.mlp.experts.142", "model.language_model.layers.21.mlp.experts.143", "model.language_model.layers.21.mlp.experts.144", "model.language_model.layers.21.mlp.experts.145", "model.language_model.layers.21.mlp.experts.146", "model.language_model.layers.21.mlp.experts.147", "model.language_model.layers.21.mlp.experts.148", "model.language_model.layers.21.mlp.experts.149", "model.language_model.layers.21.mlp.experts.150", "model.language_model.layers.21.mlp.experts.151", "model.language_model.layers.21.mlp.experts.152", "model.language_model.layers.21.mlp.experts.153", "model.language_model.layers.21.mlp.experts.154", "model.language_model.layers.21.mlp.experts.155", "model.language_model.layers.21.mlp.experts.156", "model.language_model.layers.21.mlp.experts.157", "model.language_model.layers.21.mlp.experts.158", "model.language_model.layers.21.mlp.experts.159", "model.language_model.layers.21.mlp.experts.160", "model.language_model.layers.21.mlp.experts.161", "model.language_model.layers.21.mlp.experts.162", "model.language_model.layers.21.mlp.experts.163", "model.language_model.layers.21.mlp.experts.164", "model.language_model.layers.21.mlp.experts.165", "model.language_model.layers.21.mlp.experts.166", "model.language_model.layers.21.mlp.experts.167", "model.language_model.layers.21.mlp.experts.168", "model.language_model.layers.21.mlp.experts.169", "model.language_model.layers.21.mlp.experts.170", "model.language_model.layers.21.mlp.experts.171", "model.language_model.layers.21.mlp.experts.172", "model.language_model.layers.21.mlp.experts.173", "model.language_model.layers.21.mlp.experts.174", "model.language_model.layers.21.mlp.experts.175", "model.language_model.layers.21.mlp.experts.176", "model.language_model.layers.21.mlp.experts.177", "model.language_model.layers.21.mlp.experts.178", "model.language_model.layers.21.mlp.experts.179", "model.language_model.layers.21.mlp.experts.180", "model.language_model.layers.21.mlp.experts.181", "model.language_model.layers.21.mlp.experts.182", "model.language_model.layers.21.mlp.experts.183", "model.language_model.layers.21.mlp.experts.184", "model.language_model.layers.21.mlp.experts.185", "model.language_model.layers.21.mlp.experts.186", "model.language_model.layers.21.mlp.experts.187", "model.language_model.layers.21.mlp.experts.188", "model.language_model.layers.21.mlp.experts.189", "model.language_model.layers.21.mlp.experts.190", "model.language_model.layers.21.mlp.experts.191", "model.language_model.layers.21.mlp.experts.192", "model.language_model.layers.21.mlp.experts.193", "model.language_model.layers.21.mlp.experts.194", "model.language_model.layers.21.mlp.experts.195", "model.language_model.layers.21.mlp.experts.196", "model.language_model.layers.21.mlp.experts.197", "model.language_model.layers.21.mlp.experts.198", "model.language_model.layers.21.mlp.experts.199", "model.language_model.layers.21.mlp.experts.200", "model.language_model.layers.21.mlp.experts.201", "model.language_model.layers.21.mlp.experts.202", "model.language_model.layers.21.mlp.experts.203", "model.language_model.layers.21.mlp.experts.204", "model.language_model.layers.21.mlp.experts.205", "model.language_model.layers.21.mlp.experts.206", "model.language_model.layers.21.mlp.experts.207", "model.language_model.layers.21.mlp.experts.208", "model.language_model.layers.21.mlp.experts.209", "model.language_model.layers.21.mlp.experts.210", "model.language_model.layers.21.mlp.experts.211", "model.language_model.layers.21.mlp.experts.212", "model.language_model.layers.21.mlp.experts.213", "model.language_model.layers.21.mlp.experts.214", "model.language_model.layers.21.mlp.experts.215", "model.language_model.layers.21.mlp.experts.216", "model.language_model.layers.21.mlp.experts.217", "model.language_model.layers.21.mlp.experts.218", "model.language_model.layers.21.mlp.experts.219", "model.language_model.layers.21.mlp.experts.220", "model.language_model.layers.21.mlp.experts.221", "model.language_model.layers.21.mlp.experts.222", "model.language_model.layers.21.mlp.experts.223", "model.language_model.layers.21.mlp.experts.224", "model.language_model.layers.21.mlp.experts.225", "model.language_model.layers.21.mlp.experts.226", "model.language_model.layers.21.mlp.experts.227", "model.language_model.layers.21.mlp.experts.228", "model.language_model.layers.21.mlp.experts.229", "model.language_model.layers.21.mlp.experts.230", "model.language_model.layers.21.mlp.experts.231", "model.language_model.layers.21.mlp.experts.232", "model.language_model.layers.21.mlp.experts.233", "model.language_model.layers.21.mlp.experts.234", "model.language_model.layers.21.mlp.experts.235", "model.language_model.layers.21.mlp.experts.236", "model.language_model.layers.21.mlp.experts.237", "model.language_model.layers.21.mlp.experts.238", "model.language_model.layers.21.mlp.experts.239", "model.language_model.layers.21.mlp.experts.240", "model.language_model.layers.21.mlp.experts.241", "model.language_model.layers.21.mlp.experts.242", "model.language_model.layers.21.mlp.experts.243", "model.language_model.layers.21.mlp.experts.244", "model.language_model.layers.21.mlp.experts.245", "model.language_model.layers.21.mlp.experts.246", "model.language_model.layers.21.mlp.experts.247", "model.language_model.layers.21.mlp.experts.248", "model.language_model.layers.21.mlp.experts.249", "model.language_model.layers.21.mlp.experts.250", "model.language_model.layers.21.mlp.experts.251", "model.language_model.layers.21.mlp.experts.252", "model.language_model.layers.21.mlp.experts.253", "model.language_model.layers.21.mlp.experts.254", "model.language_model.layers.21.mlp.experts.255", "model.language_model.layers.21.mlp.shared_expert_gate", "model.language_model.layers.22.linear_attn", "model.language_model.layers.22.linear_attn.norm", "model.language_model.layers.22.linear_attn.in_proj_b", "model.language_model.layers.22.linear_attn.in_proj_a", "model.language_model.layers.22.mlp.gate", "model.language_model.layers.22.mlp.experts.0", "model.language_model.layers.22.mlp.experts.1", "model.language_model.layers.22.mlp.experts.2", "model.language_model.layers.22.mlp.experts.3", "model.language_model.layers.22.mlp.experts.4", "model.language_model.layers.22.mlp.experts.5", "model.language_model.layers.22.mlp.experts.6", "model.language_model.layers.22.mlp.experts.7", "model.language_model.layers.22.mlp.experts.8", "model.language_model.layers.22.mlp.experts.9", "model.language_model.layers.22.mlp.experts.10", "model.language_model.layers.22.mlp.experts.11", "model.language_model.layers.22.mlp.experts.12", "model.language_model.layers.22.mlp.experts.13", "model.language_model.layers.22.mlp.experts.14", "model.language_model.layers.22.mlp.experts.15", "model.language_model.layers.22.mlp.experts.16", "model.language_model.layers.22.mlp.experts.17", "model.language_model.layers.22.mlp.experts.18", "model.language_model.layers.22.mlp.experts.19", "model.language_model.layers.22.mlp.experts.20", "model.language_model.layers.22.mlp.experts.21", "model.language_model.layers.22.mlp.experts.22", "model.language_model.layers.22.mlp.experts.23", "model.language_model.layers.22.mlp.experts.24", "model.language_model.layers.22.mlp.experts.25", "model.language_model.layers.22.mlp.experts.26", "model.language_model.layers.22.mlp.experts.27", "model.language_model.layers.22.mlp.experts.28", "model.language_model.layers.22.mlp.experts.29", "model.language_model.layers.22.mlp.experts.30", "model.language_model.layers.22.mlp.experts.31", "model.language_model.layers.22.mlp.experts.32", "model.language_model.layers.22.mlp.experts.33", "model.language_model.layers.22.mlp.experts.34", "model.language_model.layers.22.mlp.experts.35", "model.language_model.layers.22.mlp.experts.36", "model.language_model.layers.22.mlp.experts.37", "model.language_model.layers.22.mlp.experts.38", "model.language_model.layers.22.mlp.experts.39", "model.language_model.layers.22.mlp.experts.40", "model.language_model.layers.22.mlp.experts.41", "model.language_model.layers.22.mlp.experts.42", "model.language_model.layers.22.mlp.experts.43", "model.language_model.layers.22.mlp.experts.44", "model.language_model.layers.22.mlp.experts.45", "model.language_model.layers.22.mlp.experts.46", "model.language_model.layers.22.mlp.experts.47", "model.language_model.layers.22.mlp.experts.48", "model.language_model.layers.22.mlp.experts.49", "model.language_model.layers.22.mlp.experts.50", "model.language_model.layers.22.mlp.experts.51", "model.language_model.layers.22.mlp.experts.52", "model.language_model.layers.22.mlp.experts.53", "model.language_model.layers.22.mlp.experts.54", "model.language_model.layers.22.mlp.experts.55", "model.language_model.layers.22.mlp.experts.56", "model.language_model.layers.22.mlp.experts.57", "model.language_model.layers.22.mlp.experts.58", "model.language_model.layers.22.mlp.experts.59", "model.language_model.layers.22.mlp.experts.60", "model.language_model.layers.22.mlp.experts.61", "model.language_model.layers.22.mlp.experts.62", "model.language_model.layers.22.mlp.experts.63", "model.language_model.layers.22.mlp.experts.64", "model.language_model.layers.22.mlp.experts.65", "model.language_model.layers.22.mlp.experts.66", "model.language_model.layers.22.mlp.experts.67", "model.language_model.layers.22.mlp.experts.68", "model.language_model.layers.22.mlp.experts.69", "model.language_model.layers.22.mlp.experts.70", "model.language_model.layers.22.mlp.experts.71", "model.language_model.layers.22.mlp.experts.72", "model.language_model.layers.22.mlp.experts.73", "model.language_model.layers.22.mlp.experts.74", "model.language_model.layers.22.mlp.experts.75", "model.language_model.layers.22.mlp.experts.76", "model.language_model.layers.22.mlp.experts.77", "model.language_model.layers.22.mlp.experts.78", "model.language_model.layers.22.mlp.experts.79", "model.language_model.layers.22.mlp.experts.80", "model.language_model.layers.22.mlp.experts.81", "model.language_model.layers.22.mlp.experts.82", "model.language_model.layers.22.mlp.experts.83", "model.language_model.layers.22.mlp.experts.84", "model.language_model.layers.22.mlp.experts.85", "model.language_model.layers.22.mlp.experts.86", "model.language_model.layers.22.mlp.experts.87", "model.language_model.layers.22.mlp.experts.88", "model.language_model.layers.22.mlp.experts.89", "model.language_model.layers.22.mlp.experts.90", "model.language_model.layers.22.mlp.experts.91", "model.language_model.layers.22.mlp.experts.92", "model.language_model.layers.22.mlp.experts.93", "model.language_model.layers.22.mlp.experts.94", "model.language_model.layers.22.mlp.experts.95", "model.language_model.layers.22.mlp.experts.96", "model.language_model.layers.22.mlp.experts.97", "model.language_model.layers.22.mlp.experts.98", "model.language_model.layers.22.mlp.experts.99", "model.language_model.layers.22.mlp.experts.100", "model.language_model.layers.22.mlp.experts.101", "model.language_model.layers.22.mlp.experts.102", "model.language_model.layers.22.mlp.experts.103", "model.language_model.layers.22.mlp.experts.104", "model.language_model.layers.22.mlp.experts.105", "model.language_model.layers.22.mlp.experts.106", "model.language_model.layers.22.mlp.experts.107", "model.language_model.layers.22.mlp.experts.108", "model.language_model.layers.22.mlp.experts.109", "model.language_model.layers.22.mlp.experts.110", "model.language_model.layers.22.mlp.experts.111", "model.language_model.layers.22.mlp.experts.112", "model.language_model.layers.22.mlp.experts.113", "model.language_model.layers.22.mlp.experts.114", "model.language_model.layers.22.mlp.experts.115", "model.language_model.layers.22.mlp.experts.116", "model.language_model.layers.22.mlp.experts.117", "model.language_model.layers.22.mlp.experts.118", "model.language_model.layers.22.mlp.experts.119", "model.language_model.layers.22.mlp.experts.120", "model.language_model.layers.22.mlp.experts.121", "model.language_model.layers.22.mlp.experts.122", "model.language_model.layers.22.mlp.experts.123", "model.language_model.layers.22.mlp.experts.124", "model.language_model.layers.22.mlp.experts.125", "model.language_model.layers.22.mlp.experts.126", "model.language_model.layers.22.mlp.experts.127", "model.language_model.layers.22.mlp.experts.128", "model.language_model.layers.22.mlp.experts.129", "model.language_model.layers.22.mlp.experts.130", "model.language_model.layers.22.mlp.experts.131", "model.language_model.layers.22.mlp.experts.132", "model.language_model.layers.22.mlp.experts.133", "model.language_model.layers.22.mlp.experts.134", "model.language_model.layers.22.mlp.experts.135", "model.language_model.layers.22.mlp.experts.136", "model.language_model.layers.22.mlp.experts.137", "model.language_model.layers.22.mlp.experts.138", "model.language_model.layers.22.mlp.experts.139", "model.language_model.layers.22.mlp.experts.140", "model.language_model.layers.22.mlp.experts.141", "model.language_model.layers.22.mlp.experts.142", "model.language_model.layers.22.mlp.experts.143", "model.language_model.layers.22.mlp.experts.144", "model.language_model.layers.22.mlp.experts.145", "model.language_model.layers.22.mlp.experts.146", "model.language_model.layers.22.mlp.experts.147", "model.language_model.layers.22.mlp.experts.148", "model.language_model.layers.22.mlp.experts.149", "model.language_model.layers.22.mlp.experts.150", "model.language_model.layers.22.mlp.experts.151", "model.language_model.layers.22.mlp.experts.152", "model.language_model.layers.22.mlp.experts.153", "model.language_model.layers.22.mlp.experts.154", "model.language_model.layers.22.mlp.experts.155", "model.language_model.layers.22.mlp.experts.156", "model.language_model.layers.22.mlp.experts.157", "model.language_model.layers.22.mlp.experts.158", "model.language_model.layers.22.mlp.experts.159", "model.language_model.layers.22.mlp.experts.160", "model.language_model.layers.22.mlp.experts.161", "model.language_model.layers.22.mlp.experts.162", "model.language_model.layers.22.mlp.experts.163", "model.language_model.layers.22.mlp.experts.164", "model.language_model.layers.22.mlp.experts.165", "model.language_model.layers.22.mlp.experts.166", "model.language_model.layers.22.mlp.experts.167", "model.language_model.layers.22.mlp.experts.168", "model.language_model.layers.22.mlp.experts.169", "model.language_model.layers.22.mlp.experts.170", "model.language_model.layers.22.mlp.experts.171", "model.language_model.layers.22.mlp.experts.172", "model.language_model.layers.22.mlp.experts.173", "model.language_model.layers.22.mlp.experts.174", "model.language_model.layers.22.mlp.experts.175", "model.language_model.layers.22.mlp.experts.176", "model.language_model.layers.22.mlp.experts.177", "model.language_model.layers.22.mlp.experts.178", "model.language_model.layers.22.mlp.experts.179", "model.language_model.layers.22.mlp.experts.180", "model.language_model.layers.22.mlp.experts.181", "model.language_model.layers.22.mlp.experts.182", "model.language_model.layers.22.mlp.experts.183", "model.language_model.layers.22.mlp.experts.184", "model.language_model.layers.22.mlp.experts.185", "model.language_model.layers.22.mlp.experts.186", "model.language_model.layers.22.mlp.experts.187", "model.language_model.layers.22.mlp.experts.188", "model.language_model.layers.22.mlp.experts.189", "model.language_model.layers.22.mlp.experts.190", "model.language_model.layers.22.mlp.experts.191", "model.language_model.layers.22.mlp.experts.192", "model.language_model.layers.22.mlp.experts.193", "model.language_model.layers.22.mlp.experts.194", "model.language_model.layers.22.mlp.experts.195", "model.language_model.layers.22.mlp.experts.196", "model.language_model.layers.22.mlp.experts.197", "model.language_model.layers.22.mlp.experts.198", "model.language_model.layers.22.mlp.experts.199", "model.language_model.layers.22.mlp.experts.200", "model.language_model.layers.22.mlp.experts.201", "model.language_model.layers.22.mlp.experts.202", "model.language_model.layers.22.mlp.experts.203", "model.language_model.layers.22.mlp.experts.204", "model.language_model.layers.22.mlp.experts.205", "model.language_model.layers.22.mlp.experts.206", "model.language_model.layers.22.mlp.experts.207", "model.language_model.layers.22.mlp.experts.208", "model.language_model.layers.22.mlp.experts.209", "model.language_model.layers.22.mlp.experts.210", "model.language_model.layers.22.mlp.experts.211", "model.language_model.layers.22.mlp.experts.212", "model.language_model.layers.22.mlp.experts.213", "model.language_model.layers.22.mlp.experts.214", "model.language_model.layers.22.mlp.experts.215", "model.language_model.layers.22.mlp.experts.216", "model.language_model.layers.22.mlp.experts.217", "model.language_model.layers.22.mlp.experts.218", "model.language_model.layers.22.mlp.experts.219", "model.language_model.layers.22.mlp.experts.220", "model.language_model.layers.22.mlp.experts.221", "model.language_model.layers.22.mlp.experts.222", "model.language_model.layers.22.mlp.experts.223", "model.language_model.layers.22.mlp.experts.224", "model.language_model.layers.22.mlp.experts.225", "model.language_model.layers.22.mlp.experts.226", "model.language_model.layers.22.mlp.experts.227", "model.language_model.layers.22.mlp.experts.228", "model.language_model.layers.22.mlp.experts.229", "model.language_model.layers.22.mlp.experts.230", "model.language_model.layers.22.mlp.experts.231", "model.language_model.layers.22.mlp.experts.232", "model.language_model.layers.22.mlp.experts.233", "model.language_model.layers.22.mlp.experts.234", "model.language_model.layers.22.mlp.experts.235", "model.language_model.layers.22.mlp.experts.236", "model.language_model.layers.22.mlp.experts.237", "model.language_model.layers.22.mlp.experts.238", "model.language_model.layers.22.mlp.experts.239", "model.language_model.layers.22.mlp.experts.240", "model.language_model.layers.22.mlp.experts.241", "model.language_model.layers.22.mlp.experts.242", "model.language_model.layers.22.mlp.experts.243", "model.language_model.layers.22.mlp.experts.244", "model.language_model.layers.22.mlp.experts.245", "model.language_model.layers.22.mlp.experts.246", "model.language_model.layers.22.mlp.experts.247", "model.language_model.layers.22.mlp.experts.248", "model.language_model.layers.22.mlp.experts.249", "model.language_model.layers.22.mlp.experts.250", "model.language_model.layers.22.mlp.experts.251", "model.language_model.layers.22.mlp.experts.252", "model.language_model.layers.22.mlp.experts.253", "model.language_model.layers.22.mlp.experts.254", "model.language_model.layers.22.mlp.experts.255", "model.language_model.layers.22.mlp.shared_expert_gate", "model.language_model.layers.23.mlp.gate", "model.language_model.layers.23.mlp.experts.0", "model.language_model.layers.23.mlp.experts.1", "model.language_model.layers.23.mlp.experts.2", "model.language_model.layers.23.mlp.experts.3", "model.language_model.layers.23.mlp.experts.4", "model.language_model.layers.23.mlp.experts.5", "model.language_model.layers.23.mlp.experts.6", "model.language_model.layers.23.mlp.experts.7", "model.language_model.layers.23.mlp.experts.8", "model.language_model.layers.23.mlp.experts.9", "model.language_model.layers.23.mlp.experts.10", "model.language_model.layers.23.mlp.experts.11", "model.language_model.layers.23.mlp.experts.12", "model.language_model.layers.23.mlp.experts.13", "model.language_model.layers.23.mlp.experts.14", "model.language_model.layers.23.mlp.experts.15", "model.language_model.layers.23.mlp.experts.16", "model.language_model.layers.23.mlp.experts.17", "model.language_model.layers.23.mlp.experts.18", "model.language_model.layers.23.mlp.experts.19", "model.language_model.layers.23.mlp.experts.20", "model.language_model.layers.23.mlp.experts.21", "model.language_model.layers.23.mlp.experts.22", "model.language_model.layers.23.mlp.experts.23", "model.language_model.layers.23.mlp.experts.24", "model.language_model.layers.23.mlp.experts.25", "model.language_model.layers.23.mlp.experts.26", "model.language_model.layers.23.mlp.experts.27", "model.language_model.layers.23.mlp.experts.28", "model.language_model.layers.23.mlp.experts.29", "model.language_model.layers.23.mlp.experts.30", "model.language_model.layers.23.mlp.experts.31", "model.language_model.layers.23.mlp.experts.32", "model.language_model.layers.23.mlp.experts.33", "model.language_model.layers.23.mlp.experts.34", "model.language_model.layers.23.mlp.experts.35", "model.language_model.layers.23.mlp.experts.36", "model.language_model.layers.23.mlp.experts.37", "model.language_model.layers.23.mlp.experts.38", "model.language_model.layers.23.mlp.experts.39", "model.language_model.layers.23.mlp.experts.40", "model.language_model.layers.23.mlp.experts.41", "model.language_model.layers.23.mlp.experts.42", "model.language_model.layers.23.mlp.experts.43", "model.language_model.layers.23.mlp.experts.44", "model.language_model.layers.23.mlp.experts.45", "model.language_model.layers.23.mlp.experts.46", "model.language_model.layers.23.mlp.experts.47", "model.language_model.layers.23.mlp.experts.48", "model.language_model.layers.23.mlp.experts.49", "model.language_model.layers.23.mlp.experts.50", "model.language_model.layers.23.mlp.experts.51", "model.language_model.layers.23.mlp.experts.52", "model.language_model.layers.23.mlp.experts.53", "model.language_model.layers.23.mlp.experts.54", "model.language_model.layers.23.mlp.experts.55", "model.language_model.layers.23.mlp.experts.56", "model.language_model.layers.23.mlp.experts.57", "model.language_model.layers.23.mlp.experts.58", "model.language_model.layers.23.mlp.experts.59", "model.language_model.layers.23.mlp.experts.60", "model.language_model.layers.23.mlp.experts.61", "model.language_model.layers.23.mlp.experts.62", "model.language_model.layers.23.mlp.experts.63", "model.language_model.layers.23.mlp.experts.64", "model.language_model.layers.23.mlp.experts.65", "model.language_model.layers.23.mlp.experts.66", "model.language_model.layers.23.mlp.experts.67", "model.language_model.layers.23.mlp.experts.68", "model.language_model.layers.23.mlp.experts.69", "model.language_model.layers.23.mlp.experts.70", "model.language_model.layers.23.mlp.experts.71", "model.language_model.layers.23.mlp.experts.72", "model.language_model.layers.23.mlp.experts.73", "model.language_model.layers.23.mlp.experts.74", "model.language_model.layers.23.mlp.experts.75", "model.language_model.layers.23.mlp.experts.76", "model.language_model.layers.23.mlp.experts.77", "model.language_model.layers.23.mlp.experts.78", "model.language_model.layers.23.mlp.experts.79", "model.language_model.layers.23.mlp.experts.80", "model.language_model.layers.23.mlp.experts.81", "model.language_model.layers.23.mlp.experts.82", "model.language_model.layers.23.mlp.experts.83", "model.language_model.layers.23.mlp.experts.84", "model.language_model.layers.23.mlp.experts.85", "model.language_model.layers.23.mlp.experts.86", "model.language_model.layers.23.mlp.experts.87", "model.language_model.layers.23.mlp.experts.88", "model.language_model.layers.23.mlp.experts.89", "model.language_model.layers.23.mlp.experts.90", "model.language_model.layers.23.mlp.experts.91", "model.language_model.layers.23.mlp.experts.92", "model.language_model.layers.23.mlp.experts.93", "model.language_model.layers.23.mlp.experts.94", "model.language_model.layers.23.mlp.experts.95", "model.language_model.layers.23.mlp.experts.96", "model.language_model.layers.23.mlp.experts.97", "model.language_model.layers.23.mlp.experts.98", "model.language_model.layers.23.mlp.experts.99", "model.language_model.layers.23.mlp.experts.100", "model.language_model.layers.23.mlp.experts.101", "model.language_model.layers.23.mlp.experts.102", "model.language_model.layers.23.mlp.experts.103", "model.language_model.layers.23.mlp.experts.104", "model.language_model.layers.23.mlp.experts.105", "model.language_model.layers.23.mlp.experts.106", "model.language_model.layers.23.mlp.experts.107", "model.language_model.layers.23.mlp.experts.108", "model.language_model.layers.23.mlp.experts.109", "model.language_model.layers.23.mlp.experts.110", "model.language_model.layers.23.mlp.experts.111", "model.language_model.layers.23.mlp.experts.112", "model.language_model.layers.23.mlp.experts.113", "model.language_model.layers.23.mlp.experts.114", "model.language_model.layers.23.mlp.experts.115", "model.language_model.layers.23.mlp.experts.116", "model.language_model.layers.23.mlp.experts.117", "model.language_model.layers.23.mlp.experts.118", "model.language_model.layers.23.mlp.experts.119", "model.language_model.layers.23.mlp.experts.120", "model.language_model.layers.23.mlp.experts.121", "model.language_model.layers.23.mlp.experts.122", "model.language_model.layers.23.mlp.experts.123", "model.language_model.layers.23.mlp.experts.124", "model.language_model.layers.23.mlp.experts.125", "model.language_model.layers.23.mlp.experts.126", "model.language_model.layers.23.mlp.experts.127", "model.language_model.layers.23.mlp.experts.128", "model.language_model.layers.23.mlp.experts.129", "model.language_model.layers.23.mlp.experts.130", "model.language_model.layers.23.mlp.experts.131", "model.language_model.layers.23.mlp.experts.132", "model.language_model.layers.23.mlp.experts.133", "model.language_model.layers.23.mlp.experts.134", "model.language_model.layers.23.mlp.experts.135", "model.language_model.layers.23.mlp.experts.136", "model.language_model.layers.23.mlp.experts.137", "model.language_model.layers.23.mlp.experts.138", "model.language_model.layers.23.mlp.experts.139", "model.language_model.layers.23.mlp.experts.140", "model.language_model.layers.23.mlp.experts.141", "model.language_model.layers.23.mlp.experts.142", "model.language_model.layers.23.mlp.experts.143", "model.language_model.layers.23.mlp.experts.144", "model.language_model.layers.23.mlp.experts.145", "model.language_model.layers.23.mlp.experts.146", "model.language_model.layers.23.mlp.experts.147", "model.language_model.layers.23.mlp.experts.148", "model.language_model.layers.23.mlp.experts.149", "model.language_model.layers.23.mlp.experts.150", "model.language_model.layers.23.mlp.experts.151", "model.language_model.layers.23.mlp.experts.152", "model.language_model.layers.23.mlp.experts.153", "model.language_model.layers.23.mlp.experts.154", "model.language_model.layers.23.mlp.experts.155", "model.language_model.layers.23.mlp.experts.156", "model.language_model.layers.23.mlp.experts.157", "model.language_model.layers.23.mlp.experts.158", "model.language_model.layers.23.mlp.experts.159", "model.language_model.layers.23.mlp.experts.160", "model.language_model.layers.23.mlp.experts.161", "model.language_model.layers.23.mlp.experts.162", "model.language_model.layers.23.mlp.experts.163", "model.language_model.layers.23.mlp.experts.164", "model.language_model.layers.23.mlp.experts.165", "model.language_model.layers.23.mlp.experts.166", "model.language_model.layers.23.mlp.experts.167", "model.language_model.layers.23.mlp.experts.168", "model.language_model.layers.23.mlp.experts.169", "model.language_model.layers.23.mlp.experts.170", "model.language_model.layers.23.mlp.experts.171", "model.language_model.layers.23.mlp.experts.172", "model.language_model.layers.23.mlp.experts.173", "model.language_model.layers.23.mlp.experts.174", "model.language_model.layers.23.mlp.experts.175", "model.language_model.layers.23.mlp.experts.176", "model.language_model.layers.23.mlp.experts.177", "model.language_model.layers.23.mlp.experts.178", "model.language_model.layers.23.mlp.experts.179", "model.language_model.layers.23.mlp.experts.180", "model.language_model.layers.23.mlp.experts.181", "model.language_model.layers.23.mlp.experts.182", "model.language_model.layers.23.mlp.experts.183", "model.language_model.layers.23.mlp.experts.184", "model.language_model.layers.23.mlp.experts.185", "model.language_model.layers.23.mlp.experts.186", "model.language_model.layers.23.mlp.experts.187", "model.language_model.layers.23.mlp.experts.188", "model.language_model.layers.23.mlp.experts.189", "model.language_model.layers.23.mlp.experts.190", "model.language_model.layers.23.mlp.experts.191", "model.language_model.layers.23.mlp.experts.192", "model.language_model.layers.23.mlp.experts.193", "model.language_model.layers.23.mlp.experts.194", "model.language_model.layers.23.mlp.experts.195", "model.language_model.layers.23.mlp.experts.196", "model.language_model.layers.23.mlp.experts.197", "model.language_model.layers.23.mlp.experts.198", "model.language_model.layers.23.mlp.experts.199", "model.language_model.layers.23.mlp.experts.200", "model.language_model.layers.23.mlp.experts.201", "model.language_model.layers.23.mlp.experts.202", "model.language_model.layers.23.mlp.experts.203", "model.language_model.layers.23.mlp.experts.204", "model.language_model.layers.23.mlp.experts.205", "model.language_model.layers.23.mlp.experts.206", "model.language_model.layers.23.mlp.experts.207", "model.language_model.layers.23.mlp.experts.208", "model.language_model.layers.23.mlp.experts.209", "model.language_model.layers.23.mlp.experts.210", "model.language_model.layers.23.mlp.experts.211", "model.language_model.layers.23.mlp.experts.212", "model.language_model.layers.23.mlp.experts.213", "model.language_model.layers.23.mlp.experts.214", "model.language_model.layers.23.mlp.experts.215", "model.language_model.layers.23.mlp.experts.216", "model.language_model.layers.23.mlp.experts.217", "model.language_model.layers.23.mlp.experts.218", "model.language_model.layers.23.mlp.experts.219", "model.language_model.layers.23.mlp.experts.220", "model.language_model.layers.23.mlp.experts.221", "model.language_model.layers.23.mlp.experts.222", "model.language_model.layers.23.mlp.experts.223", "model.language_model.layers.23.mlp.experts.224", "model.language_model.layers.23.mlp.experts.225", "model.language_model.layers.23.mlp.experts.226", "model.language_model.layers.23.mlp.experts.227", "model.language_model.layers.23.mlp.experts.228", "model.language_model.layers.23.mlp.experts.229", "model.language_model.layers.23.mlp.experts.230", "model.language_model.layers.23.mlp.experts.231", "model.language_model.layers.23.mlp.experts.232", "model.language_model.layers.23.mlp.experts.233", "model.language_model.layers.23.mlp.experts.234", "model.language_model.layers.23.mlp.experts.235", "model.language_model.layers.23.mlp.experts.236", "model.language_model.layers.23.mlp.experts.237", "model.language_model.layers.23.mlp.experts.238", "model.language_model.layers.23.mlp.experts.239", "model.language_model.layers.23.mlp.experts.240", "model.language_model.layers.23.mlp.experts.241", "model.language_model.layers.23.mlp.experts.242", "model.language_model.layers.23.mlp.experts.243", "model.language_model.layers.23.mlp.experts.244", "model.language_model.layers.23.mlp.experts.245", "model.language_model.layers.23.mlp.experts.246", "model.language_model.layers.23.mlp.experts.247", "model.language_model.layers.23.mlp.experts.248", "model.language_model.layers.23.mlp.experts.249", "model.language_model.layers.23.mlp.experts.250", "model.language_model.layers.23.mlp.experts.251", "model.language_model.layers.23.mlp.experts.252", "model.language_model.layers.23.mlp.experts.253", "model.language_model.layers.23.mlp.experts.254", "model.language_model.layers.23.mlp.experts.255", "model.language_model.layers.23.mlp.shared_expert_gate", "model.language_model.layers.24.linear_attn", "model.language_model.layers.24.linear_attn.norm", "model.language_model.layers.24.linear_attn.in_proj_b", "model.language_model.layers.24.linear_attn.in_proj_a", "model.language_model.layers.24.mlp.gate", "model.language_model.layers.24.mlp.experts.0", "model.language_model.layers.24.mlp.experts.1", "model.language_model.layers.24.mlp.experts.2", "model.language_model.layers.24.mlp.experts.3", "model.language_model.layers.24.mlp.experts.4", "model.language_model.layers.24.mlp.experts.5", "model.language_model.layers.24.mlp.experts.6", "model.language_model.layers.24.mlp.experts.7", "model.language_model.layers.24.mlp.experts.8", "model.language_model.layers.24.mlp.experts.9", "model.language_model.layers.24.mlp.experts.10", "model.language_model.layers.24.mlp.experts.11", "model.language_model.layers.24.mlp.experts.12", "model.language_model.layers.24.mlp.experts.13", "model.language_model.layers.24.mlp.experts.14", "model.language_model.layers.24.mlp.experts.15", "model.language_model.layers.24.mlp.experts.16", "model.language_model.layers.24.mlp.experts.17", "model.language_model.layers.24.mlp.experts.18", "model.language_model.layers.24.mlp.experts.19", "model.language_model.layers.24.mlp.experts.20", "model.language_model.layers.24.mlp.experts.21", "model.language_model.layers.24.mlp.experts.22", "model.language_model.layers.24.mlp.experts.23", "model.language_model.layers.24.mlp.experts.24", "model.language_model.layers.24.mlp.experts.25", "model.language_model.layers.24.mlp.experts.26", "model.language_model.layers.24.mlp.experts.27", "model.language_model.layers.24.mlp.experts.28", "model.language_model.layers.24.mlp.experts.29", "model.language_model.layers.24.mlp.experts.30", "model.language_model.layers.24.mlp.experts.31", "model.language_model.layers.24.mlp.experts.32", "model.language_model.layers.24.mlp.experts.33", "model.language_model.layers.24.mlp.experts.34", "model.language_model.layers.24.mlp.experts.35", "model.language_model.layers.24.mlp.experts.36", "model.language_model.layers.24.mlp.experts.37", "model.language_model.layers.24.mlp.experts.38", "model.language_model.layers.24.mlp.experts.39", "model.language_model.layers.24.mlp.experts.40", "model.language_model.layers.24.mlp.experts.41", "model.language_model.layers.24.mlp.experts.42", "model.language_model.layers.24.mlp.experts.43", "model.language_model.layers.24.mlp.experts.44", "model.language_model.layers.24.mlp.experts.45", "model.language_model.layers.24.mlp.experts.46", "model.language_model.layers.24.mlp.experts.47", "model.language_model.layers.24.mlp.experts.48", "model.language_model.layers.24.mlp.experts.49", "model.language_model.layers.24.mlp.experts.50", "model.language_model.layers.24.mlp.experts.51", "model.language_model.layers.24.mlp.experts.52", "model.language_model.layers.24.mlp.experts.53", "model.language_model.layers.24.mlp.experts.54", "model.language_model.layers.24.mlp.experts.55", "model.language_model.layers.24.mlp.experts.56", "model.language_model.layers.24.mlp.experts.57", "model.language_model.layers.24.mlp.experts.58", "model.language_model.layers.24.mlp.experts.59", "model.language_model.layers.24.mlp.experts.60", "model.language_model.layers.24.mlp.experts.61", "model.language_model.layers.24.mlp.experts.62", "model.language_model.layers.24.mlp.experts.63", "model.language_model.layers.24.mlp.experts.64", "model.language_model.layers.24.mlp.experts.65", "model.language_model.layers.24.mlp.experts.66", "model.language_model.layers.24.mlp.experts.67", "model.language_model.layers.24.mlp.experts.68", "model.language_model.layers.24.mlp.experts.69", "model.language_model.layers.24.mlp.experts.70", "model.language_model.layers.24.mlp.experts.71", "model.language_model.layers.24.mlp.experts.72", "model.language_model.layers.24.mlp.experts.73", "model.language_model.layers.24.mlp.experts.74", "model.language_model.layers.24.mlp.experts.75", "model.language_model.layers.24.mlp.experts.76", "model.language_model.layers.24.mlp.experts.77", "model.language_model.layers.24.mlp.experts.78", "model.language_model.layers.24.mlp.experts.79", "model.language_model.layers.24.mlp.experts.80", "model.language_model.layers.24.mlp.experts.81", "model.language_model.layers.24.mlp.experts.82", "model.language_model.layers.24.mlp.experts.83", "model.language_model.layers.24.mlp.experts.84", "model.language_model.layers.24.mlp.experts.85", "model.language_model.layers.24.mlp.experts.86", "model.language_model.layers.24.mlp.experts.87", "model.language_model.layers.24.mlp.experts.88", "model.language_model.layers.24.mlp.experts.89", "model.language_model.layers.24.mlp.experts.90", "model.language_model.layers.24.mlp.experts.91", "model.language_model.layers.24.mlp.experts.92", "model.language_model.layers.24.mlp.experts.93", "model.language_model.layers.24.mlp.experts.94", "model.language_model.layers.24.mlp.experts.95", "model.language_model.layers.24.mlp.experts.96", "model.language_model.layers.24.mlp.experts.97", "model.language_model.layers.24.mlp.experts.98", "model.language_model.layers.24.mlp.experts.99", "model.language_model.layers.24.mlp.experts.100", "model.language_model.layers.24.mlp.experts.101", "model.language_model.layers.24.mlp.experts.102", "model.language_model.layers.24.mlp.experts.103", "model.language_model.layers.24.mlp.experts.104", "model.language_model.layers.24.mlp.experts.105", "model.language_model.layers.24.mlp.experts.106", "model.language_model.layers.24.mlp.experts.107", "model.language_model.layers.24.mlp.experts.108", "model.language_model.layers.24.mlp.experts.109", "model.language_model.layers.24.mlp.experts.110", "model.language_model.layers.24.mlp.experts.111", "model.language_model.layers.24.mlp.experts.112", "model.language_model.layers.24.mlp.experts.113", "model.language_model.layers.24.mlp.experts.114", "model.language_model.layers.24.mlp.experts.115", "model.language_model.layers.24.mlp.experts.116", "model.language_model.layers.24.mlp.experts.117", "model.language_model.layers.24.mlp.experts.118", "model.language_model.layers.24.mlp.experts.119", "model.language_model.layers.24.mlp.experts.120", "model.language_model.layers.24.mlp.experts.121", "model.language_model.layers.24.mlp.experts.122", "model.language_model.layers.24.mlp.experts.123", "model.language_model.layers.24.mlp.experts.124", "model.language_model.layers.24.mlp.experts.125", "model.language_model.layers.24.mlp.experts.126", "model.language_model.layers.24.mlp.experts.127", "model.language_model.layers.24.mlp.experts.128", "model.language_model.layers.24.mlp.experts.129", "model.language_model.layers.24.mlp.experts.130", "model.language_model.layers.24.mlp.experts.131", "model.language_model.layers.24.mlp.experts.132", "model.language_model.layers.24.mlp.experts.133", "model.language_model.layers.24.mlp.experts.134", "model.language_model.layers.24.mlp.experts.135", "model.language_model.layers.24.mlp.experts.136", "model.language_model.layers.24.mlp.experts.137", "model.language_model.layers.24.mlp.experts.138", "model.language_model.layers.24.mlp.experts.139", "model.language_model.layers.24.mlp.experts.140", "model.language_model.layers.24.mlp.experts.141", "model.language_model.layers.24.mlp.experts.142", "model.language_model.layers.24.mlp.experts.143", "model.language_model.layers.24.mlp.experts.144", "model.language_model.layers.24.mlp.experts.145", "model.language_model.layers.24.mlp.experts.146", "model.language_model.layers.24.mlp.experts.147", "model.language_model.layers.24.mlp.experts.148", "model.language_model.layers.24.mlp.experts.149", "model.language_model.layers.24.mlp.experts.150", "model.language_model.layers.24.mlp.experts.151", "model.language_model.layers.24.mlp.experts.152", "model.language_model.layers.24.mlp.experts.153", "model.language_model.layers.24.mlp.experts.154", "model.language_model.layers.24.mlp.experts.155", "model.language_model.layers.24.mlp.experts.156", "model.language_model.layers.24.mlp.experts.157", "model.language_model.layers.24.mlp.experts.158", "model.language_model.layers.24.mlp.experts.159", "model.language_model.layers.24.mlp.experts.160", "model.language_model.layers.24.mlp.experts.161", "model.language_model.layers.24.mlp.experts.162", "model.language_model.layers.24.mlp.experts.163", "model.language_model.layers.24.mlp.experts.164", "model.language_model.layers.24.mlp.experts.165", "model.language_model.layers.24.mlp.experts.166", "model.language_model.layers.24.mlp.experts.167", "model.language_model.layers.24.mlp.experts.168", "model.language_model.layers.24.mlp.experts.169", "model.language_model.layers.24.mlp.experts.170", "model.language_model.layers.24.mlp.experts.171", "model.language_model.layers.24.mlp.experts.172", "model.language_model.layers.24.mlp.experts.173", "model.language_model.layers.24.mlp.experts.174", "model.language_model.layers.24.mlp.experts.175", "model.language_model.layers.24.mlp.experts.176", "model.language_model.layers.24.mlp.experts.177", "model.language_model.layers.24.mlp.experts.178", "model.language_model.layers.24.mlp.experts.179", "model.language_model.layers.24.mlp.experts.180", "model.language_model.layers.24.mlp.experts.181", "model.language_model.layers.24.mlp.experts.182", "model.language_model.layers.24.mlp.experts.183", "model.language_model.layers.24.mlp.experts.184", "model.language_model.layers.24.mlp.experts.185", "model.language_model.layers.24.mlp.experts.186", "model.language_model.layers.24.mlp.experts.187", "model.language_model.layers.24.mlp.experts.188", "model.language_model.layers.24.mlp.experts.189", "model.language_model.layers.24.mlp.experts.190", "model.language_model.layers.24.mlp.experts.191", "model.language_model.layers.24.mlp.experts.192", "model.language_model.layers.24.mlp.experts.193", "model.language_model.layers.24.mlp.experts.194", "model.language_model.layers.24.mlp.experts.195", "model.language_model.layers.24.mlp.experts.196", "model.language_model.layers.24.mlp.experts.197", "model.language_model.layers.24.mlp.experts.198", "model.language_model.layers.24.mlp.experts.199", "model.language_model.layers.24.mlp.experts.200", "model.language_model.layers.24.mlp.experts.201", "model.language_model.layers.24.mlp.experts.202", "model.language_model.layers.24.mlp.experts.203", "model.language_model.layers.24.mlp.experts.204", "model.language_model.layers.24.mlp.experts.205", "model.language_model.layers.24.mlp.experts.206", "model.language_model.layers.24.mlp.experts.207", "model.language_model.layers.24.mlp.experts.208", "model.language_model.layers.24.mlp.experts.209", "model.language_model.layers.24.mlp.experts.210", "model.language_model.layers.24.mlp.experts.211", "model.language_model.layers.24.mlp.experts.212", "model.language_model.layers.24.mlp.experts.213", "model.language_model.layers.24.mlp.experts.214", "model.language_model.layers.24.mlp.experts.215", "model.language_model.layers.24.mlp.experts.216", "model.language_model.layers.24.mlp.experts.217", "model.language_model.layers.24.mlp.experts.218", "model.language_model.layers.24.mlp.experts.219", "model.language_model.layers.24.mlp.experts.220", "model.language_model.layers.24.mlp.experts.221", "model.language_model.layers.24.mlp.experts.222", "model.language_model.layers.24.mlp.experts.223", "model.language_model.layers.24.mlp.experts.224", "model.language_model.layers.24.mlp.experts.225", "model.language_model.layers.24.mlp.experts.226", "model.language_model.layers.24.mlp.experts.227", "model.language_model.layers.24.mlp.experts.228", "model.language_model.layers.24.mlp.experts.229", "model.language_model.layers.24.mlp.experts.230", "model.language_model.layers.24.mlp.experts.231", "model.language_model.layers.24.mlp.experts.232", "model.language_model.layers.24.mlp.experts.233", "model.language_model.layers.24.mlp.experts.234", "model.language_model.layers.24.mlp.experts.235", "model.language_model.layers.24.mlp.experts.236", "model.language_model.layers.24.mlp.experts.237", "model.language_model.layers.24.mlp.experts.238", "model.language_model.layers.24.mlp.experts.239", "model.language_model.layers.24.mlp.experts.240", "model.language_model.layers.24.mlp.experts.241", "model.language_model.layers.24.mlp.experts.242", "model.language_model.layers.24.mlp.experts.243", "model.language_model.layers.24.mlp.experts.244", "model.language_model.layers.24.mlp.experts.245", "model.language_model.layers.24.mlp.experts.246", "model.language_model.layers.24.mlp.experts.247", "model.language_model.layers.24.mlp.experts.248", "model.language_model.layers.24.mlp.experts.249", "model.language_model.layers.24.mlp.experts.250", "model.language_model.layers.24.mlp.experts.251", "model.language_model.layers.24.mlp.experts.252", "model.language_model.layers.24.mlp.experts.253", "model.language_model.layers.24.mlp.experts.254", "model.language_model.layers.24.mlp.experts.255", "model.language_model.layers.24.mlp.shared_expert_gate", "model.language_model.layers.25.linear_attn", "model.language_model.layers.25.linear_attn.norm", "model.language_model.layers.25.linear_attn.in_proj_b", "model.language_model.layers.25.linear_attn.in_proj_a", "model.language_model.layers.25.mlp.gate", "model.language_model.layers.25.mlp.experts.0", "model.language_model.layers.25.mlp.experts.1", "model.language_model.layers.25.mlp.experts.2", "model.language_model.layers.25.mlp.experts.3", "model.language_model.layers.25.mlp.experts.4", "model.language_model.layers.25.mlp.experts.5", "model.language_model.layers.25.mlp.experts.6", "model.language_model.layers.25.mlp.experts.7", "model.language_model.layers.25.mlp.experts.8", "model.language_model.layers.25.mlp.experts.9", "model.language_model.layers.25.mlp.experts.10", "model.language_model.layers.25.mlp.experts.11", "model.language_model.layers.25.mlp.experts.12", "model.language_model.layers.25.mlp.experts.13", "model.language_model.layers.25.mlp.experts.14", "model.language_model.layers.25.mlp.experts.15", "model.language_model.layers.25.mlp.experts.16", "model.language_model.layers.25.mlp.experts.17", "model.language_model.layers.25.mlp.experts.18", "model.language_model.layers.25.mlp.experts.19", "model.language_model.layers.25.mlp.experts.20", "model.language_model.layers.25.mlp.experts.21", "model.language_model.layers.25.mlp.experts.22", "model.language_model.layers.25.mlp.experts.23", "model.language_model.layers.25.mlp.experts.24", "model.language_model.layers.25.mlp.experts.25", "model.language_model.layers.25.mlp.experts.26", "model.language_model.layers.25.mlp.experts.27", "model.language_model.layers.25.mlp.experts.28", "model.language_model.layers.25.mlp.experts.29", "model.language_model.layers.25.mlp.experts.30", "model.language_model.layers.25.mlp.experts.31", "model.language_model.layers.25.mlp.experts.32", "model.language_model.layers.25.mlp.experts.33", "model.language_model.layers.25.mlp.experts.34", "model.language_model.layers.25.mlp.experts.35", "model.language_model.layers.25.mlp.experts.36", "model.language_model.layers.25.mlp.experts.37", "model.language_model.layers.25.mlp.experts.38", "model.language_model.layers.25.mlp.experts.39", "model.language_model.layers.25.mlp.experts.40", "model.language_model.layers.25.mlp.experts.41", "model.language_model.layers.25.mlp.experts.42", "model.language_model.layers.25.mlp.experts.43", "model.language_model.layers.25.mlp.experts.44", "model.language_model.layers.25.mlp.experts.45", "model.language_model.layers.25.mlp.experts.46", "model.language_model.layers.25.mlp.experts.47", "model.language_model.layers.25.mlp.experts.48", "model.language_model.layers.25.mlp.experts.49", "model.language_model.layers.25.mlp.experts.50", "model.language_model.layers.25.mlp.experts.51", "model.language_model.layers.25.mlp.experts.52", "model.language_model.layers.25.mlp.experts.53", "model.language_model.layers.25.mlp.experts.54", "model.language_model.layers.25.mlp.experts.55", "model.language_model.layers.25.mlp.experts.56", "model.language_model.layers.25.mlp.experts.57", "model.language_model.layers.25.mlp.experts.58", "model.language_model.layers.25.mlp.experts.59", "model.language_model.layers.25.mlp.experts.60", "model.language_model.layers.25.mlp.experts.61", "model.language_model.layers.25.mlp.experts.62", "model.language_model.layers.25.mlp.experts.63", "model.language_model.layers.25.mlp.experts.64", "model.language_model.layers.25.mlp.experts.65", "model.language_model.layers.25.mlp.experts.66", "model.language_model.layers.25.mlp.experts.67", "model.language_model.layers.25.mlp.experts.68", "model.language_model.layers.25.mlp.experts.69", "model.language_model.layers.25.mlp.experts.70", "model.language_model.layers.25.mlp.experts.71", "model.language_model.layers.25.mlp.experts.72", "model.language_model.layers.25.mlp.experts.73", "model.language_model.layers.25.mlp.experts.74", "model.language_model.layers.25.mlp.experts.75", "model.language_model.layers.25.mlp.experts.76", "model.language_model.layers.25.mlp.experts.77", "model.language_model.layers.25.mlp.experts.78", "model.language_model.layers.25.mlp.experts.79", "model.language_model.layers.25.mlp.experts.80", "model.language_model.layers.25.mlp.experts.81", "model.language_model.layers.25.mlp.experts.82", "model.language_model.layers.25.mlp.experts.83", "model.language_model.layers.25.mlp.experts.84", "model.language_model.layers.25.mlp.experts.85", "model.language_model.layers.25.mlp.experts.86", "model.language_model.layers.25.mlp.experts.87", "model.language_model.layers.25.mlp.experts.88", "model.language_model.layers.25.mlp.experts.89", "model.language_model.layers.25.mlp.experts.90", "model.language_model.layers.25.mlp.experts.91", "model.language_model.layers.25.mlp.experts.92", "model.language_model.layers.25.mlp.experts.93", "model.language_model.layers.25.mlp.experts.94", "model.language_model.layers.25.mlp.experts.95", "model.language_model.layers.25.mlp.experts.96", "model.language_model.layers.25.mlp.experts.97", "model.language_model.layers.25.mlp.experts.98", "model.language_model.layers.25.mlp.experts.99", "model.language_model.layers.25.mlp.experts.100", "model.language_model.layers.25.mlp.experts.101", "model.language_model.layers.25.mlp.experts.102", "model.language_model.layers.25.mlp.experts.103", "model.language_model.layers.25.mlp.experts.104", "model.language_model.layers.25.mlp.experts.105", "model.language_model.layers.25.mlp.experts.106", "model.language_model.layers.25.mlp.experts.107", "model.language_model.layers.25.mlp.experts.108", "model.language_model.layers.25.mlp.experts.109", "model.language_model.layers.25.mlp.experts.110", "model.language_model.layers.25.mlp.experts.111", "model.language_model.layers.25.mlp.experts.112", "model.language_model.layers.25.mlp.experts.113", "model.language_model.layers.25.mlp.experts.114", "model.language_model.layers.25.mlp.experts.115", "model.language_model.layers.25.mlp.experts.116", "model.language_model.layers.25.mlp.experts.117", "model.language_model.layers.25.mlp.experts.118", "model.language_model.layers.25.mlp.experts.119", "model.language_model.layers.25.mlp.experts.120", "model.language_model.layers.25.mlp.experts.121", "model.language_model.layers.25.mlp.experts.122", "model.language_model.layers.25.mlp.experts.123", "model.language_model.layers.25.mlp.experts.124", "model.language_model.layers.25.mlp.experts.125", "model.language_model.layers.25.mlp.experts.126", "model.language_model.layers.25.mlp.experts.127", "model.language_model.layers.25.mlp.experts.128", "model.language_model.layers.25.mlp.experts.129", "model.language_model.layers.25.mlp.experts.130", "model.language_model.layers.25.mlp.experts.131", "model.language_model.layers.25.mlp.experts.132", "model.language_model.layers.25.mlp.experts.133", "model.language_model.layers.25.mlp.experts.134", "model.language_model.layers.25.mlp.experts.135", "model.language_model.layers.25.mlp.experts.136", "model.language_model.layers.25.mlp.experts.137", "model.language_model.layers.25.mlp.experts.138", "model.language_model.layers.25.mlp.experts.139", "model.language_model.layers.25.mlp.experts.140", "model.language_model.layers.25.mlp.experts.141", "model.language_model.layers.25.mlp.experts.142", "model.language_model.layers.25.mlp.experts.143", "model.language_model.layers.25.mlp.experts.144", "model.language_model.layers.25.mlp.experts.145", "model.language_model.layers.25.mlp.experts.146", "model.language_model.layers.25.mlp.experts.147", "model.language_model.layers.25.mlp.experts.148", "model.language_model.layers.25.mlp.experts.149", "model.language_model.layers.25.mlp.experts.150", "model.language_model.layers.25.mlp.experts.151", "model.language_model.layers.25.mlp.experts.152", "model.language_model.layers.25.mlp.experts.153", "model.language_model.layers.25.mlp.experts.154", "model.language_model.layers.25.mlp.experts.155", "model.language_model.layers.25.mlp.experts.156", "model.language_model.layers.25.mlp.experts.157", "model.language_model.layers.25.mlp.experts.158", "model.language_model.layers.25.mlp.experts.159", "model.language_model.layers.25.mlp.experts.160", "model.language_model.layers.25.mlp.experts.161", "model.language_model.layers.25.mlp.experts.162", "model.language_model.layers.25.mlp.experts.163", "model.language_model.layers.25.mlp.experts.164", "model.language_model.layers.25.mlp.experts.165", "model.language_model.layers.25.mlp.experts.166", "model.language_model.layers.25.mlp.experts.167", "model.language_model.layers.25.mlp.experts.168", "model.language_model.layers.25.mlp.experts.169", "model.language_model.layers.25.mlp.experts.170", "model.language_model.layers.25.mlp.experts.171", "model.language_model.layers.25.mlp.experts.172", "model.language_model.layers.25.mlp.experts.173", "model.language_model.layers.25.mlp.experts.174", "model.language_model.layers.25.mlp.experts.175", "model.language_model.layers.25.mlp.experts.176", "model.language_model.layers.25.mlp.experts.177", "model.language_model.layers.25.mlp.experts.178", "model.language_model.layers.25.mlp.experts.179", "model.language_model.layers.25.mlp.experts.180", "model.language_model.layers.25.mlp.experts.181", "model.language_model.layers.25.mlp.experts.182", "model.language_model.layers.25.mlp.experts.183", "model.language_model.layers.25.mlp.experts.184", "model.language_model.layers.25.mlp.experts.185", "model.language_model.layers.25.mlp.experts.186", "model.language_model.layers.25.mlp.experts.187", "model.language_model.layers.25.mlp.experts.188", "model.language_model.layers.25.mlp.experts.189", "model.language_model.layers.25.mlp.experts.190", "model.language_model.layers.25.mlp.experts.191", "model.language_model.layers.25.mlp.experts.192", "model.language_model.layers.25.mlp.experts.193", "model.language_model.layers.25.mlp.experts.194", "model.language_model.layers.25.mlp.experts.195", "model.language_model.layers.25.mlp.experts.196", "model.language_model.layers.25.mlp.experts.197", "model.language_model.layers.25.mlp.experts.198", "model.language_model.layers.25.mlp.experts.199", "model.language_model.layers.25.mlp.experts.200", "model.language_model.layers.25.mlp.experts.201", "model.language_model.layers.25.mlp.experts.202", "model.language_model.layers.25.mlp.experts.203", "model.language_model.layers.25.mlp.experts.204", "model.language_model.layers.25.mlp.experts.205", "model.language_model.layers.25.mlp.experts.206", "model.language_model.layers.25.mlp.experts.207", "model.language_model.layers.25.mlp.experts.208", "model.language_model.layers.25.mlp.experts.209", "model.language_model.layers.25.mlp.experts.210", "model.language_model.layers.25.mlp.experts.211", "model.language_model.layers.25.mlp.experts.212", "model.language_model.layers.25.mlp.experts.213", "model.language_model.layers.25.mlp.experts.214", "model.language_model.layers.25.mlp.experts.215", "model.language_model.layers.25.mlp.experts.216", "model.language_model.layers.25.mlp.experts.217", "model.language_model.layers.25.mlp.experts.218", "model.language_model.layers.25.mlp.experts.219", "model.language_model.layers.25.mlp.experts.220", "model.language_model.layers.25.mlp.experts.221", "model.language_model.layers.25.mlp.experts.222", "model.language_model.layers.25.mlp.experts.223", "model.language_model.layers.25.mlp.experts.224", "model.language_model.layers.25.mlp.experts.225", "model.language_model.layers.25.mlp.experts.226", "model.language_model.layers.25.mlp.experts.227", "model.language_model.layers.25.mlp.experts.228", "model.language_model.layers.25.mlp.experts.229", "model.language_model.layers.25.mlp.experts.230", "model.language_model.layers.25.mlp.experts.231", "model.language_model.layers.25.mlp.experts.232", "model.language_model.layers.25.mlp.experts.233", "model.language_model.layers.25.mlp.experts.234", "model.language_model.layers.25.mlp.experts.235", "model.language_model.layers.25.mlp.experts.236", "model.language_model.layers.25.mlp.experts.237", "model.language_model.layers.25.mlp.experts.238", "model.language_model.layers.25.mlp.experts.239", "model.language_model.layers.25.mlp.experts.240", "model.language_model.layers.25.mlp.experts.241", "model.language_model.layers.25.mlp.experts.242", "model.language_model.layers.25.mlp.experts.243", "model.language_model.layers.25.mlp.experts.244", "model.language_model.layers.25.mlp.experts.245", "model.language_model.layers.25.mlp.experts.246", "model.language_model.layers.25.mlp.experts.247", "model.language_model.layers.25.mlp.experts.248", "model.language_model.layers.25.mlp.experts.249", "model.language_model.layers.25.mlp.experts.250", "model.language_model.layers.25.mlp.experts.251", "model.language_model.layers.25.mlp.experts.252", "model.language_model.layers.25.mlp.experts.253", "model.language_model.layers.25.mlp.experts.254", "model.language_model.layers.25.mlp.experts.255", "model.language_model.layers.25.mlp.shared_expert_gate", "model.language_model.layers.26.linear_attn", "model.language_model.layers.26.linear_attn.norm", "model.language_model.layers.26.linear_attn.in_proj_b", "model.language_model.layers.26.linear_attn.in_proj_a", "model.language_model.layers.26.mlp.gate", "model.language_model.layers.26.mlp.experts.0", "model.language_model.layers.26.mlp.experts.1", "model.language_model.layers.26.mlp.experts.2", "model.language_model.layers.26.mlp.experts.3", "model.language_model.layers.26.mlp.experts.4", "model.language_model.layers.26.mlp.experts.5", "model.language_model.layers.26.mlp.experts.6", "model.language_model.layers.26.mlp.experts.7", "model.language_model.layers.26.mlp.experts.8", "model.language_model.layers.26.mlp.experts.9", "model.language_model.layers.26.mlp.experts.10", "model.language_model.layers.26.mlp.experts.11", "model.language_model.layers.26.mlp.experts.12", "model.language_model.layers.26.mlp.experts.13", "model.language_model.layers.26.mlp.experts.14", "model.language_model.layers.26.mlp.experts.15", "model.language_model.layers.26.mlp.experts.16", "model.language_model.layers.26.mlp.experts.17", "model.language_model.layers.26.mlp.experts.18", "model.language_model.layers.26.mlp.experts.19", "model.language_model.layers.26.mlp.experts.20", "model.language_model.layers.26.mlp.experts.21", "model.language_model.layers.26.mlp.experts.22", "model.language_model.layers.26.mlp.experts.23", "model.language_model.layers.26.mlp.experts.24", "model.language_model.layers.26.mlp.experts.25", "model.language_model.layers.26.mlp.experts.26", "model.language_model.layers.26.mlp.experts.27", "model.language_model.layers.26.mlp.experts.28", "model.language_model.layers.26.mlp.experts.29", "model.language_model.layers.26.mlp.experts.30", "model.language_model.layers.26.mlp.experts.31", "model.language_model.layers.26.mlp.experts.32", "model.language_model.layers.26.mlp.experts.33", "model.language_model.layers.26.mlp.experts.34", "model.language_model.layers.26.mlp.experts.35", "model.language_model.layers.26.mlp.experts.36", "model.language_model.layers.26.mlp.experts.37", "model.language_model.layers.26.mlp.experts.38", "model.language_model.layers.26.mlp.experts.39", "model.language_model.layers.26.mlp.experts.40", "model.language_model.layers.26.mlp.experts.41", "model.language_model.layers.26.mlp.experts.42", "model.language_model.layers.26.mlp.experts.43", "model.language_model.layers.26.mlp.experts.44", "model.language_model.layers.26.mlp.experts.45", "model.language_model.layers.26.mlp.experts.46", "model.language_model.layers.26.mlp.experts.47", "model.language_model.layers.26.mlp.experts.48", "model.language_model.layers.26.mlp.experts.49", "model.language_model.layers.26.mlp.experts.50", "model.language_model.layers.26.mlp.experts.51", "model.language_model.layers.26.mlp.experts.52", "model.language_model.layers.26.mlp.experts.53", "model.language_model.layers.26.mlp.experts.54", "model.language_model.layers.26.mlp.experts.55", "model.language_model.layers.26.mlp.experts.56", "model.language_model.layers.26.mlp.experts.57", "model.language_model.layers.26.mlp.experts.58", "model.language_model.layers.26.mlp.experts.59", "model.language_model.layers.26.mlp.experts.60", "model.language_model.layers.26.mlp.experts.61", "model.language_model.layers.26.mlp.experts.62", "model.language_model.layers.26.mlp.experts.63", "model.language_model.layers.26.mlp.experts.64", "model.language_model.layers.26.mlp.experts.65", "model.language_model.layers.26.mlp.experts.66", "model.language_model.layers.26.mlp.experts.67", "model.language_model.layers.26.mlp.experts.68", "model.language_model.layers.26.mlp.experts.69", "model.language_model.layers.26.mlp.experts.70", "model.language_model.layers.26.mlp.experts.71", "model.language_model.layers.26.mlp.experts.72", "model.language_model.layers.26.mlp.experts.73", "model.language_model.layers.26.mlp.experts.74", "model.language_model.layers.26.mlp.experts.75", "model.language_model.layers.26.mlp.experts.76", "model.language_model.layers.26.mlp.experts.77", "model.language_model.layers.26.mlp.experts.78", "model.language_model.layers.26.mlp.experts.79", "model.language_model.layers.26.mlp.experts.80", "model.language_model.layers.26.mlp.experts.81", "model.language_model.layers.26.mlp.experts.82", "model.language_model.layers.26.mlp.experts.83", "model.language_model.layers.26.mlp.experts.84", "model.language_model.layers.26.mlp.experts.85", "model.language_model.layers.26.mlp.experts.86", "model.language_model.layers.26.mlp.experts.87", "model.language_model.layers.26.mlp.experts.88", "model.language_model.layers.26.mlp.experts.89", "model.language_model.layers.26.mlp.experts.90", "model.language_model.layers.26.mlp.experts.91", "model.language_model.layers.26.mlp.experts.92", "model.language_model.layers.26.mlp.experts.93", "model.language_model.layers.26.mlp.experts.94", "model.language_model.layers.26.mlp.experts.95", "model.language_model.layers.26.mlp.experts.96", "model.language_model.layers.26.mlp.experts.97", "model.language_model.layers.26.mlp.experts.98", "model.language_model.layers.26.mlp.experts.99", "model.language_model.layers.26.mlp.experts.100", "model.language_model.layers.26.mlp.experts.101", "model.language_model.layers.26.mlp.experts.102", "model.language_model.layers.26.mlp.experts.103", "model.language_model.layers.26.mlp.experts.104", "model.language_model.layers.26.mlp.experts.105", "model.language_model.layers.26.mlp.experts.106", "model.language_model.layers.26.mlp.experts.107", "model.language_model.layers.26.mlp.experts.108", "model.language_model.layers.26.mlp.experts.109", "model.language_model.layers.26.mlp.experts.110", "model.language_model.layers.26.mlp.experts.111", "model.language_model.layers.26.mlp.experts.112", "model.language_model.layers.26.mlp.experts.113", "model.language_model.layers.26.mlp.experts.114", "model.language_model.layers.26.mlp.experts.115", "model.language_model.layers.26.mlp.experts.116", "model.language_model.layers.26.mlp.experts.117", "model.language_model.layers.26.mlp.experts.118", "model.language_model.layers.26.mlp.experts.119", "model.language_model.layers.26.mlp.experts.120", "model.language_model.layers.26.mlp.experts.121", "model.language_model.layers.26.mlp.experts.122", "model.language_model.layers.26.mlp.experts.123", "model.language_model.layers.26.mlp.experts.124", "model.language_model.layers.26.mlp.experts.125", "model.language_model.layers.26.mlp.experts.126", "model.language_model.layers.26.mlp.experts.127", "model.language_model.layers.26.mlp.experts.128", "model.language_model.layers.26.mlp.experts.129", "model.language_model.layers.26.mlp.experts.130", "model.language_model.layers.26.mlp.experts.131", "model.language_model.layers.26.mlp.experts.132", "model.language_model.layers.26.mlp.experts.133", "model.language_model.layers.26.mlp.experts.134", "model.language_model.layers.26.mlp.experts.135", "model.language_model.layers.26.mlp.experts.136", "model.language_model.layers.26.mlp.experts.137", "model.language_model.layers.26.mlp.experts.138", "model.language_model.layers.26.mlp.experts.139", "model.language_model.layers.26.mlp.experts.140", "model.language_model.layers.26.mlp.experts.141", "model.language_model.layers.26.mlp.experts.142", "model.language_model.layers.26.mlp.experts.143", "model.language_model.layers.26.mlp.experts.144", "model.language_model.layers.26.mlp.experts.145", "model.language_model.layers.26.mlp.experts.146", "model.language_model.layers.26.mlp.experts.147", "model.language_model.layers.26.mlp.experts.148", "model.language_model.layers.26.mlp.experts.149", "model.language_model.layers.26.mlp.experts.150", "model.language_model.layers.26.mlp.experts.151", "model.language_model.layers.26.mlp.experts.152", "model.language_model.layers.26.mlp.experts.153", "model.language_model.layers.26.mlp.experts.154", "model.language_model.layers.26.mlp.experts.155", "model.language_model.layers.26.mlp.experts.156", "model.language_model.layers.26.mlp.experts.157", "model.language_model.layers.26.mlp.experts.158", "model.language_model.layers.26.mlp.experts.159", "model.language_model.layers.26.mlp.experts.160", "model.language_model.layers.26.mlp.experts.161", "model.language_model.layers.26.mlp.experts.162", "model.language_model.layers.26.mlp.experts.163", "model.language_model.layers.26.mlp.experts.164", "model.language_model.layers.26.mlp.experts.165", "model.language_model.layers.26.mlp.experts.166", "model.language_model.layers.26.mlp.experts.167", "model.language_model.layers.26.mlp.experts.168", "model.language_model.layers.26.mlp.experts.169", "model.language_model.layers.26.mlp.experts.170", "model.language_model.layers.26.mlp.experts.171", "model.language_model.layers.26.mlp.experts.172", "model.language_model.layers.26.mlp.experts.173", "model.language_model.layers.26.mlp.experts.174", "model.language_model.layers.26.mlp.experts.175", "model.language_model.layers.26.mlp.experts.176", "model.language_model.layers.26.mlp.experts.177", "model.language_model.layers.26.mlp.experts.178", "model.language_model.layers.26.mlp.experts.179", "model.language_model.layers.26.mlp.experts.180", "model.language_model.layers.26.mlp.experts.181", "model.language_model.layers.26.mlp.experts.182", "model.language_model.layers.26.mlp.experts.183", "model.language_model.layers.26.mlp.experts.184", "model.language_model.layers.26.mlp.experts.185", "model.language_model.layers.26.mlp.experts.186", "model.language_model.layers.26.mlp.experts.187", "model.language_model.layers.26.mlp.experts.188", "model.language_model.layers.26.mlp.experts.189", "model.language_model.layers.26.mlp.experts.190", "model.language_model.layers.26.mlp.experts.191", "model.language_model.layers.26.mlp.experts.192", "model.language_model.layers.26.mlp.experts.193", "model.language_model.layers.26.mlp.experts.194", "model.language_model.layers.26.mlp.experts.195", "model.language_model.layers.26.mlp.experts.196", "model.language_model.layers.26.mlp.experts.197", "model.language_model.layers.26.mlp.experts.198", "model.language_model.layers.26.mlp.experts.199", "model.language_model.layers.26.mlp.experts.200", "model.language_model.layers.26.mlp.experts.201", "model.language_model.layers.26.mlp.experts.202", "model.language_model.layers.26.mlp.experts.203", "model.language_model.layers.26.mlp.experts.204", "model.language_model.layers.26.mlp.experts.205", "model.language_model.layers.26.mlp.experts.206", "model.language_model.layers.26.mlp.experts.207", "model.language_model.layers.26.mlp.experts.208", "model.language_model.layers.26.mlp.experts.209", "model.language_model.layers.26.mlp.experts.210", "model.language_model.layers.26.mlp.experts.211", "model.language_model.layers.26.mlp.experts.212", "model.language_model.layers.26.mlp.experts.213", "model.language_model.layers.26.mlp.experts.214", "model.language_model.layers.26.mlp.experts.215", "model.language_model.layers.26.mlp.experts.216", "model.language_model.layers.26.mlp.experts.217", "model.language_model.layers.26.mlp.experts.218", "model.language_model.layers.26.mlp.experts.219", "model.language_model.layers.26.mlp.experts.220", "model.language_model.layers.26.mlp.experts.221", "model.language_model.layers.26.mlp.experts.222", "model.language_model.layers.26.mlp.experts.223", "model.language_model.layers.26.mlp.experts.224", "model.language_model.layers.26.mlp.experts.225", "model.language_model.layers.26.mlp.experts.226", "model.language_model.layers.26.mlp.experts.227", "model.language_model.layers.26.mlp.experts.228", "model.language_model.layers.26.mlp.experts.229", "model.language_model.layers.26.mlp.experts.230", "model.language_model.layers.26.mlp.experts.231", "model.language_model.layers.26.mlp.experts.232", "model.language_model.layers.26.mlp.experts.233", "model.language_model.layers.26.mlp.experts.234", "model.language_model.layers.26.mlp.experts.235", "model.language_model.layers.26.mlp.experts.236", "model.language_model.layers.26.mlp.experts.237", "model.language_model.layers.26.mlp.experts.238", "model.language_model.layers.26.mlp.experts.239", "model.language_model.layers.26.mlp.experts.240", "model.language_model.layers.26.mlp.experts.241", "model.language_model.layers.26.mlp.experts.242", "model.language_model.layers.26.mlp.experts.243", "model.language_model.layers.26.mlp.experts.244", "model.language_model.layers.26.mlp.experts.245", "model.language_model.layers.26.mlp.experts.246", "model.language_model.layers.26.mlp.experts.247", "model.language_model.layers.26.mlp.experts.248", "model.language_model.layers.26.mlp.experts.249", "model.language_model.layers.26.mlp.experts.250", "model.language_model.layers.26.mlp.experts.251", "model.language_model.layers.26.mlp.experts.252", "model.language_model.layers.26.mlp.experts.253", "model.language_model.layers.26.mlp.experts.254", "model.language_model.layers.26.mlp.experts.255", "model.language_model.layers.26.mlp.shared_expert_gate", "model.language_model.layers.27.mlp.gate", "model.language_model.layers.27.mlp.experts.0", "model.language_model.layers.27.mlp.experts.1", "model.language_model.layers.27.mlp.experts.2", "model.language_model.layers.27.mlp.experts.3", "model.language_model.layers.27.mlp.experts.4", "model.language_model.layers.27.mlp.experts.5", "model.language_model.layers.27.mlp.experts.6", "model.language_model.layers.27.mlp.experts.7", "model.language_model.layers.27.mlp.experts.8", "model.language_model.layers.27.mlp.experts.9", "model.language_model.layers.27.mlp.experts.10", "model.language_model.layers.27.mlp.experts.11", "model.language_model.layers.27.mlp.experts.12", "model.language_model.layers.27.mlp.experts.13", "model.language_model.layers.27.mlp.experts.14", "model.language_model.layers.27.mlp.experts.15", "model.language_model.layers.27.mlp.experts.16", "model.language_model.layers.27.mlp.experts.17", "model.language_model.layers.27.mlp.experts.18", "model.language_model.layers.27.mlp.experts.19", "model.language_model.layers.27.mlp.experts.20", "model.language_model.layers.27.mlp.experts.21", "model.language_model.layers.27.mlp.experts.22", "model.language_model.layers.27.mlp.experts.23", "model.language_model.layers.27.mlp.experts.24", "model.language_model.layers.27.mlp.experts.25", "model.language_model.layers.27.mlp.experts.26", "model.language_model.layers.27.mlp.experts.27", "model.language_model.layers.27.mlp.experts.28", "model.language_model.layers.27.mlp.experts.29", "model.language_model.layers.27.mlp.experts.30", "model.language_model.layers.27.mlp.experts.31", "model.language_model.layers.27.mlp.experts.32", "model.language_model.layers.27.mlp.experts.33", "model.language_model.layers.27.mlp.experts.34", "model.language_model.layers.27.mlp.experts.35", "model.language_model.layers.27.mlp.experts.36", "model.language_model.layers.27.mlp.experts.37", "model.language_model.layers.27.mlp.experts.38", "model.language_model.layers.27.mlp.experts.39", "model.language_model.layers.27.mlp.experts.40", "model.language_model.layers.27.mlp.experts.41", "model.language_model.layers.27.mlp.experts.42", "model.language_model.layers.27.mlp.experts.43", "model.language_model.layers.27.mlp.experts.44", "model.language_model.layers.27.mlp.experts.45", "model.language_model.layers.27.mlp.experts.46", "model.language_model.layers.27.mlp.experts.47", "model.language_model.layers.27.mlp.experts.48", "model.language_model.layers.27.mlp.experts.49", "model.language_model.layers.27.mlp.experts.50", "model.language_model.layers.27.mlp.experts.51", "model.language_model.layers.27.mlp.experts.52", "model.language_model.layers.27.mlp.experts.53", "model.language_model.layers.27.mlp.experts.54", "model.language_model.layers.27.mlp.experts.55", "model.language_model.layers.27.mlp.experts.56", "model.language_model.layers.27.mlp.experts.57", "model.language_model.layers.27.mlp.experts.58", "model.language_model.layers.27.mlp.experts.59", "model.language_model.layers.27.mlp.experts.60", "model.language_model.layers.27.mlp.experts.61", "model.language_model.layers.27.mlp.experts.62", "model.language_model.layers.27.mlp.experts.63", "model.language_model.layers.27.mlp.experts.64", "model.language_model.layers.27.mlp.experts.65", "model.language_model.layers.27.mlp.experts.66", "model.language_model.layers.27.mlp.experts.67", "model.language_model.layers.27.mlp.experts.68", "model.language_model.layers.27.mlp.experts.69", "model.language_model.layers.27.mlp.experts.70", "model.language_model.layers.27.mlp.experts.71", "model.language_model.layers.27.mlp.experts.72", "model.language_model.layers.27.mlp.experts.73", "model.language_model.layers.27.mlp.experts.74", "model.language_model.layers.27.mlp.experts.75", "model.language_model.layers.27.mlp.experts.76", "model.language_model.layers.27.mlp.experts.77", "model.language_model.layers.27.mlp.experts.78", "model.language_model.layers.27.mlp.experts.79", "model.language_model.layers.27.mlp.experts.80", "model.language_model.layers.27.mlp.experts.81", "model.language_model.layers.27.mlp.experts.82", "model.language_model.layers.27.mlp.experts.83", "model.language_model.layers.27.mlp.experts.84", "model.language_model.layers.27.mlp.experts.85", "model.language_model.layers.27.mlp.experts.86", "model.language_model.layers.27.mlp.experts.87", "model.language_model.layers.27.mlp.experts.88", "model.language_model.layers.27.mlp.experts.89", "model.language_model.layers.27.mlp.experts.90", "model.language_model.layers.27.mlp.experts.91", "model.language_model.layers.27.mlp.experts.92", "model.language_model.layers.27.mlp.experts.93", "model.language_model.layers.27.mlp.experts.94", "model.language_model.layers.27.mlp.experts.95", "model.language_model.layers.27.mlp.experts.96", "model.language_model.layers.27.mlp.experts.97", "model.language_model.layers.27.mlp.experts.98", "model.language_model.layers.27.mlp.experts.99", "model.language_model.layers.27.mlp.experts.100", "model.language_model.layers.27.mlp.experts.101", "model.language_model.layers.27.mlp.experts.102", "model.language_model.layers.27.mlp.experts.103", "model.language_model.layers.27.mlp.experts.104", "model.language_model.layers.27.mlp.experts.105", "model.language_model.layers.27.mlp.experts.106", "model.language_model.layers.27.mlp.experts.107", "model.language_model.layers.27.mlp.experts.108", "model.language_model.layers.27.mlp.experts.109", "model.language_model.layers.27.mlp.experts.110", "model.language_model.layers.27.mlp.experts.111", "model.language_model.layers.27.mlp.experts.112", "model.language_model.layers.27.mlp.experts.113", "model.language_model.layers.27.mlp.experts.114", "model.language_model.layers.27.mlp.experts.115", "model.language_model.layers.27.mlp.experts.116", "model.language_model.layers.27.mlp.experts.117", "model.language_model.layers.27.mlp.experts.118", "model.language_model.layers.27.mlp.experts.119", "model.language_model.layers.27.mlp.experts.120", "model.language_model.layers.27.mlp.experts.121", "model.language_model.layers.27.mlp.experts.122", "model.language_model.layers.27.mlp.experts.123", "model.language_model.layers.27.mlp.experts.124", "model.language_model.layers.27.mlp.experts.125", "model.language_model.layers.27.mlp.experts.126", "model.language_model.layers.27.mlp.experts.127", "model.language_model.layers.27.mlp.experts.128", "model.language_model.layers.27.mlp.experts.129", "model.language_model.layers.27.mlp.experts.130", "model.language_model.layers.27.mlp.experts.131", "model.language_model.layers.27.mlp.experts.132", "model.language_model.layers.27.mlp.experts.133", "model.language_model.layers.27.mlp.experts.134", "model.language_model.layers.27.mlp.experts.135", "model.language_model.layers.27.mlp.experts.136", "model.language_model.layers.27.mlp.experts.137", "model.language_model.layers.27.mlp.experts.138", "model.language_model.layers.27.mlp.experts.139", "model.language_model.layers.27.mlp.experts.140", "model.language_model.layers.27.mlp.experts.141", "model.language_model.layers.27.mlp.experts.142", "model.language_model.layers.27.mlp.experts.143", "model.language_model.layers.27.mlp.experts.144", "model.language_model.layers.27.mlp.experts.145", "model.language_model.layers.27.mlp.experts.146", "model.language_model.layers.27.mlp.experts.147", "model.language_model.layers.27.mlp.experts.148", "model.language_model.layers.27.mlp.experts.149", "model.language_model.layers.27.mlp.experts.150", "model.language_model.layers.27.mlp.experts.151", "model.language_model.layers.27.mlp.experts.152", "model.language_model.layers.27.mlp.experts.153", "model.language_model.layers.27.mlp.experts.154", "model.language_model.layers.27.mlp.experts.155", "model.language_model.layers.27.mlp.experts.156", "model.language_model.layers.27.mlp.experts.157", "model.language_model.layers.27.mlp.experts.158", "model.language_model.layers.27.mlp.experts.159", "model.language_model.layers.27.mlp.experts.160", "model.language_model.layers.27.mlp.experts.161", "model.language_model.layers.27.mlp.experts.162", "model.language_model.layers.27.mlp.experts.163", "model.language_model.layers.27.mlp.experts.164", "model.language_model.layers.27.mlp.experts.165", "model.language_model.layers.27.mlp.experts.166", "model.language_model.layers.27.mlp.experts.167", "model.language_model.layers.27.mlp.experts.168", "model.language_model.layers.27.mlp.experts.169", "model.language_model.layers.27.mlp.experts.170", "model.language_model.layers.27.mlp.experts.171", "model.language_model.layers.27.mlp.experts.172", "model.language_model.layers.27.mlp.experts.173", "model.language_model.layers.27.mlp.experts.174", "model.language_model.layers.27.mlp.experts.175", "model.language_model.layers.27.mlp.experts.176", "model.language_model.layers.27.mlp.experts.177", "model.language_model.layers.27.mlp.experts.178", "model.language_model.layers.27.mlp.experts.179", "model.language_model.layers.27.mlp.experts.180", "model.language_model.layers.27.mlp.experts.181", "model.language_model.layers.27.mlp.experts.182", "model.language_model.layers.27.mlp.experts.183", "model.language_model.layers.27.mlp.experts.184", "model.language_model.layers.27.mlp.experts.185", "model.language_model.layers.27.mlp.experts.186", "model.language_model.layers.27.mlp.experts.187", "model.language_model.layers.27.mlp.experts.188", "model.language_model.layers.27.mlp.experts.189", "model.language_model.layers.27.mlp.experts.190", "model.language_model.layers.27.mlp.experts.191", "model.language_model.layers.27.mlp.experts.192", "model.language_model.layers.27.mlp.experts.193", "model.language_model.layers.27.mlp.experts.194", "model.language_model.layers.27.mlp.experts.195", "model.language_model.layers.27.mlp.experts.196", "model.language_model.layers.27.mlp.experts.197", "model.language_model.layers.27.mlp.experts.198", "model.language_model.layers.27.mlp.experts.199", "model.language_model.layers.27.mlp.experts.200", "model.language_model.layers.27.mlp.experts.201", "model.language_model.layers.27.mlp.experts.202", "model.language_model.layers.27.mlp.experts.203", "model.language_model.layers.27.mlp.experts.204", "model.language_model.layers.27.mlp.experts.205", "model.language_model.layers.27.mlp.experts.206", "model.language_model.layers.27.mlp.experts.207", "model.language_model.layers.27.mlp.experts.208", "model.language_model.layers.27.mlp.experts.209", "model.language_model.layers.27.mlp.experts.210", "model.language_model.layers.27.mlp.experts.211", "model.language_model.layers.27.mlp.experts.212", "model.language_model.layers.27.mlp.experts.213", "model.language_model.layers.27.mlp.experts.214", "model.language_model.layers.27.mlp.experts.215", "model.language_model.layers.27.mlp.experts.216", "model.language_model.layers.27.mlp.experts.217", "model.language_model.layers.27.mlp.experts.218", "model.language_model.layers.27.mlp.experts.219", "model.language_model.layers.27.mlp.experts.220", "model.language_model.layers.27.mlp.experts.221", "model.language_model.layers.27.mlp.experts.222", "model.language_model.layers.27.mlp.experts.223", "model.language_model.layers.27.mlp.experts.224", "model.language_model.layers.27.mlp.experts.225", "model.language_model.layers.27.mlp.experts.226", "model.language_model.layers.27.mlp.experts.227", "model.language_model.layers.27.mlp.experts.228", "model.language_model.layers.27.mlp.experts.229", "model.language_model.layers.27.mlp.experts.230", "model.language_model.layers.27.mlp.experts.231", "model.language_model.layers.27.mlp.experts.232", "model.language_model.layers.27.mlp.experts.233", "model.language_model.layers.27.mlp.experts.234", "model.language_model.layers.27.mlp.experts.235", "model.language_model.layers.27.mlp.experts.236", "model.language_model.layers.27.mlp.experts.237", "model.language_model.layers.27.mlp.experts.238", "model.language_model.layers.27.mlp.experts.239", "model.language_model.layers.27.mlp.experts.240", "model.language_model.layers.27.mlp.experts.241", "model.language_model.layers.27.mlp.experts.242", "model.language_model.layers.27.mlp.experts.243", "model.language_model.layers.27.mlp.experts.244", "model.language_model.layers.27.mlp.experts.245", "model.language_model.layers.27.mlp.experts.246", "model.language_model.layers.27.mlp.experts.247", "model.language_model.layers.27.mlp.experts.248", "model.language_model.layers.27.mlp.experts.249", "model.language_model.layers.27.mlp.experts.250", "model.language_model.layers.27.mlp.experts.251", "model.language_model.layers.27.mlp.experts.252", "model.language_model.layers.27.mlp.experts.253", "model.language_model.layers.27.mlp.experts.254", "model.language_model.layers.27.mlp.experts.255", "model.language_model.layers.27.mlp.shared_expert_gate", "model.language_model.layers.28.linear_attn", "model.language_model.layers.28.linear_attn.norm", "model.language_model.layers.28.linear_attn.in_proj_b", "model.language_model.layers.28.linear_attn.in_proj_a", "model.language_model.layers.28.mlp.gate", "model.language_model.layers.28.mlp.experts.0", "model.language_model.layers.28.mlp.experts.1", "model.language_model.layers.28.mlp.experts.2", "model.language_model.layers.28.mlp.experts.3", "model.language_model.layers.28.mlp.experts.4", "model.language_model.layers.28.mlp.experts.5", "model.language_model.layers.28.mlp.experts.6", "model.language_model.layers.28.mlp.experts.7", "model.language_model.layers.28.mlp.experts.8", "model.language_model.layers.28.mlp.experts.9", "model.language_model.layers.28.mlp.experts.10", "model.language_model.layers.28.mlp.experts.11", "model.language_model.layers.28.mlp.experts.12", "model.language_model.layers.28.mlp.experts.13", "model.language_model.layers.28.mlp.experts.14", "model.language_model.layers.28.mlp.experts.15", "model.language_model.layers.28.mlp.experts.16", "model.language_model.layers.28.mlp.experts.17", "model.language_model.layers.28.mlp.experts.18", "model.language_model.layers.28.mlp.experts.19", "model.language_model.layers.28.mlp.experts.20", "model.language_model.layers.28.mlp.experts.21", "model.language_model.layers.28.mlp.experts.22", "model.language_model.layers.28.mlp.experts.23", "model.language_model.layers.28.mlp.experts.24", "model.language_model.layers.28.mlp.experts.25", "model.language_model.layers.28.mlp.experts.26", "model.language_model.layers.28.mlp.experts.27", "model.language_model.layers.28.mlp.experts.28", "model.language_model.layers.28.mlp.experts.29", "model.language_model.layers.28.mlp.experts.30", "model.language_model.layers.28.mlp.experts.31", "model.language_model.layers.28.mlp.experts.32", "model.language_model.layers.28.mlp.experts.33", "model.language_model.layers.28.mlp.experts.34", "model.language_model.layers.28.mlp.experts.35", "model.language_model.layers.28.mlp.experts.36", "model.language_model.layers.28.mlp.experts.37", "model.language_model.layers.28.mlp.experts.38", "model.language_model.layers.28.mlp.experts.39", "model.language_model.layers.28.mlp.experts.40", "model.language_model.layers.28.mlp.experts.41", "model.language_model.layers.28.mlp.experts.42", "model.language_model.layers.28.mlp.experts.43", "model.language_model.layers.28.mlp.experts.44", "model.language_model.layers.28.mlp.experts.45", "model.language_model.layers.28.mlp.experts.46", "model.language_model.layers.28.mlp.experts.47", "model.language_model.layers.28.mlp.experts.48", "model.language_model.layers.28.mlp.experts.49", "model.language_model.layers.28.mlp.experts.50", "model.language_model.layers.28.mlp.experts.51", "model.language_model.layers.28.mlp.experts.52", "model.language_model.layers.28.mlp.experts.53", "model.language_model.layers.28.mlp.experts.54", "model.language_model.layers.28.mlp.experts.55", "model.language_model.layers.28.mlp.experts.56", "model.language_model.layers.28.mlp.experts.57", "model.language_model.layers.28.mlp.experts.58", "model.language_model.layers.28.mlp.experts.59", "model.language_model.layers.28.mlp.experts.60", "model.language_model.layers.28.mlp.experts.61", "model.language_model.layers.28.mlp.experts.62", "model.language_model.layers.28.mlp.experts.63", "model.language_model.layers.28.mlp.experts.64", "model.language_model.layers.28.mlp.experts.65", "model.language_model.layers.28.mlp.experts.66", "model.language_model.layers.28.mlp.experts.67", "model.language_model.layers.28.mlp.experts.68", "model.language_model.layers.28.mlp.experts.69", "model.language_model.layers.28.mlp.experts.70", "model.language_model.layers.28.mlp.experts.71", "model.language_model.layers.28.mlp.experts.72", "model.language_model.layers.28.mlp.experts.73", "model.language_model.layers.28.mlp.experts.74", "model.language_model.layers.28.mlp.experts.75", "model.language_model.layers.28.mlp.experts.76", "model.language_model.layers.28.mlp.experts.77", "model.language_model.layers.28.mlp.experts.78", "model.language_model.layers.28.mlp.experts.79", "model.language_model.layers.28.mlp.experts.80", "model.language_model.layers.28.mlp.experts.81", "model.language_model.layers.28.mlp.experts.82", "model.language_model.layers.28.mlp.experts.83", "model.language_model.layers.28.mlp.experts.84", "model.language_model.layers.28.mlp.experts.85", "model.language_model.layers.28.mlp.experts.86", "model.language_model.layers.28.mlp.experts.87", "model.language_model.layers.28.mlp.experts.88", "model.language_model.layers.28.mlp.experts.89", "model.language_model.layers.28.mlp.experts.90", "model.language_model.layers.28.mlp.experts.91", "model.language_model.layers.28.mlp.experts.92", "model.language_model.layers.28.mlp.experts.93", "model.language_model.layers.28.mlp.experts.94", "model.language_model.layers.28.mlp.experts.95", "model.language_model.layers.28.mlp.experts.96", "model.language_model.layers.28.mlp.experts.97", "model.language_model.layers.28.mlp.experts.98", "model.language_model.layers.28.mlp.experts.99", "model.language_model.layers.28.mlp.experts.100", "model.language_model.layers.28.mlp.experts.101", "model.language_model.layers.28.mlp.experts.102", "model.language_model.layers.28.mlp.experts.103", "model.language_model.layers.28.mlp.experts.104", "model.language_model.layers.28.mlp.experts.105", "model.language_model.layers.28.mlp.experts.106", "model.language_model.layers.28.mlp.experts.107", "model.language_model.layers.28.mlp.experts.108", "model.language_model.layers.28.mlp.experts.109", "model.language_model.layers.28.mlp.experts.110", "model.language_model.layers.28.mlp.experts.111", "model.language_model.layers.28.mlp.experts.112", "model.language_model.layers.28.mlp.experts.113", "model.language_model.layers.28.mlp.experts.114", "model.language_model.layers.28.mlp.experts.115", "model.language_model.layers.28.mlp.experts.116", "model.language_model.layers.28.mlp.experts.117", "model.language_model.layers.28.mlp.experts.118", "model.language_model.layers.28.mlp.experts.119", "model.language_model.layers.28.mlp.experts.120", "model.language_model.layers.28.mlp.experts.121", "model.language_model.layers.28.mlp.experts.122", "model.language_model.layers.28.mlp.experts.123", "model.language_model.layers.28.mlp.experts.124", "model.language_model.layers.28.mlp.experts.125", "model.language_model.layers.28.mlp.experts.126", "model.language_model.layers.28.mlp.experts.127", "model.language_model.layers.28.mlp.experts.128", "model.language_model.layers.28.mlp.experts.129", "model.language_model.layers.28.mlp.experts.130", "model.language_model.layers.28.mlp.experts.131", "model.language_model.layers.28.mlp.experts.132", "model.language_model.layers.28.mlp.experts.133", "model.language_model.layers.28.mlp.experts.134", "model.language_model.layers.28.mlp.experts.135", "model.language_model.layers.28.mlp.experts.136", "model.language_model.layers.28.mlp.experts.137", "model.language_model.layers.28.mlp.experts.138", "model.language_model.layers.28.mlp.experts.139", "model.language_model.layers.28.mlp.experts.140", "model.language_model.layers.28.mlp.experts.141", "model.language_model.layers.28.mlp.experts.142", "model.language_model.layers.28.mlp.experts.143", "model.language_model.layers.28.mlp.experts.144", "model.language_model.layers.28.mlp.experts.145", "model.language_model.layers.28.mlp.experts.146", "model.language_model.layers.28.mlp.experts.147", "model.language_model.layers.28.mlp.experts.148", "model.language_model.layers.28.mlp.experts.149", "model.language_model.layers.28.mlp.experts.150", "model.language_model.layers.28.mlp.experts.151", "model.language_model.layers.28.mlp.experts.152", "model.language_model.layers.28.mlp.experts.153", "model.language_model.layers.28.mlp.experts.154", "model.language_model.layers.28.mlp.experts.155", "model.language_model.layers.28.mlp.experts.156", "model.language_model.layers.28.mlp.experts.157", "model.language_model.layers.28.mlp.experts.158", "model.language_model.layers.28.mlp.experts.159", "model.language_model.layers.28.mlp.experts.160", "model.language_model.layers.28.mlp.experts.161", "model.language_model.layers.28.mlp.experts.162", "model.language_model.layers.28.mlp.experts.163", "model.language_model.layers.28.mlp.experts.164", "model.language_model.layers.28.mlp.experts.165", "model.language_model.layers.28.mlp.experts.166", "model.language_model.layers.28.mlp.experts.167", "model.language_model.layers.28.mlp.experts.168", "model.language_model.layers.28.mlp.experts.169", "model.language_model.layers.28.mlp.experts.170", "model.language_model.layers.28.mlp.experts.171", "model.language_model.layers.28.mlp.experts.172", "model.language_model.layers.28.mlp.experts.173", "model.language_model.layers.28.mlp.experts.174", "model.language_model.layers.28.mlp.experts.175", "model.language_model.layers.28.mlp.experts.176", "model.language_model.layers.28.mlp.experts.177", "model.language_model.layers.28.mlp.experts.178", "model.language_model.layers.28.mlp.experts.179", "model.language_model.layers.28.mlp.experts.180", "model.language_model.layers.28.mlp.experts.181", "model.language_model.layers.28.mlp.experts.182", "model.language_model.layers.28.mlp.experts.183", "model.language_model.layers.28.mlp.experts.184", "model.language_model.layers.28.mlp.experts.185", "model.language_model.layers.28.mlp.experts.186", "model.language_model.layers.28.mlp.experts.187", "model.language_model.layers.28.mlp.experts.188", "model.language_model.layers.28.mlp.experts.189", "model.language_model.layers.28.mlp.experts.190", "model.language_model.layers.28.mlp.experts.191", "model.language_model.layers.28.mlp.experts.192", "model.language_model.layers.28.mlp.experts.193", "model.language_model.layers.28.mlp.experts.194", "model.language_model.layers.28.mlp.experts.195", "model.language_model.layers.28.mlp.experts.196", "model.language_model.layers.28.mlp.experts.197", "model.language_model.layers.28.mlp.experts.198", "model.language_model.layers.28.mlp.experts.199", "model.language_model.layers.28.mlp.experts.200", "model.language_model.layers.28.mlp.experts.201", "model.language_model.layers.28.mlp.experts.202", "model.language_model.layers.28.mlp.experts.203", "model.language_model.layers.28.mlp.experts.204", "model.language_model.layers.28.mlp.experts.205", "model.language_model.layers.28.mlp.experts.206", "model.language_model.layers.28.mlp.experts.207", "model.language_model.layers.28.mlp.experts.208", "model.language_model.layers.28.mlp.experts.209", "model.language_model.layers.28.mlp.experts.210", "model.language_model.layers.28.mlp.experts.211", "model.language_model.layers.28.mlp.experts.212", "model.language_model.layers.28.mlp.experts.213", "model.language_model.layers.28.mlp.experts.214", "model.language_model.layers.28.mlp.experts.215", "model.language_model.layers.28.mlp.experts.216", "model.language_model.layers.28.mlp.experts.217", "model.language_model.layers.28.mlp.experts.218", "model.language_model.layers.28.mlp.experts.219", "model.language_model.layers.28.mlp.experts.220", "model.language_model.layers.28.mlp.experts.221", "model.language_model.layers.28.mlp.experts.222", "model.language_model.layers.28.mlp.experts.223", "model.language_model.layers.28.mlp.experts.224", "model.language_model.layers.28.mlp.experts.225", "model.language_model.layers.28.mlp.experts.226", "model.language_model.layers.28.mlp.experts.227", "model.language_model.layers.28.mlp.experts.228", "model.language_model.layers.28.mlp.experts.229", "model.language_model.layers.28.mlp.experts.230", "model.language_model.layers.28.mlp.experts.231", "model.language_model.layers.28.mlp.experts.232", "model.language_model.layers.28.mlp.experts.233", "model.language_model.layers.28.mlp.experts.234", "model.language_model.layers.28.mlp.experts.235", "model.language_model.layers.28.mlp.experts.236", "model.language_model.layers.28.mlp.experts.237", "model.language_model.layers.28.mlp.experts.238", "model.language_model.layers.28.mlp.experts.239", "model.language_model.layers.28.mlp.experts.240", "model.language_model.layers.28.mlp.experts.241", "model.language_model.layers.28.mlp.experts.242", "model.language_model.layers.28.mlp.experts.243", "model.language_model.layers.28.mlp.experts.244", "model.language_model.layers.28.mlp.experts.245", "model.language_model.layers.28.mlp.experts.246", "model.language_model.layers.28.mlp.experts.247", "model.language_model.layers.28.mlp.experts.248", "model.language_model.layers.28.mlp.experts.249", "model.language_model.layers.28.mlp.experts.250", "model.language_model.layers.28.mlp.experts.251", "model.language_model.layers.28.mlp.experts.252", "model.language_model.layers.28.mlp.experts.253", "model.language_model.layers.28.mlp.experts.254", "model.language_model.layers.28.mlp.experts.255", "model.language_model.layers.28.mlp.shared_expert_gate", "model.language_model.layers.29.linear_attn", "model.language_model.layers.29.linear_attn.norm", "model.language_model.layers.29.linear_attn.in_proj_b", "model.language_model.layers.29.linear_attn.in_proj_a", "model.language_model.layers.29.mlp.gate", "model.language_model.layers.29.mlp.experts.0", "model.language_model.layers.29.mlp.experts.1", "model.language_model.layers.29.mlp.experts.2", "model.language_model.layers.29.mlp.experts.3", "model.language_model.layers.29.mlp.experts.4", "model.language_model.layers.29.mlp.experts.5", "model.language_model.layers.29.mlp.experts.6", "model.language_model.layers.29.mlp.experts.7", "model.language_model.layers.29.mlp.experts.8", "model.language_model.layers.29.mlp.experts.9", "model.language_model.layers.29.mlp.experts.10", "model.language_model.layers.29.mlp.experts.11", "model.language_model.layers.29.mlp.experts.12", "model.language_model.layers.29.mlp.experts.13", "model.language_model.layers.29.mlp.experts.14", "model.language_model.layers.29.mlp.experts.15", "model.language_model.layers.29.mlp.experts.16", "model.language_model.layers.29.mlp.experts.17", "model.language_model.layers.29.mlp.experts.18", "model.language_model.layers.29.mlp.experts.19", "model.language_model.layers.29.mlp.experts.20", "model.language_model.layers.29.mlp.experts.21", "model.language_model.layers.29.mlp.experts.22", "model.language_model.layers.29.mlp.experts.23", "model.language_model.layers.29.mlp.experts.24", "model.language_model.layers.29.mlp.experts.25", "model.language_model.layers.29.mlp.experts.26", "model.language_model.layers.29.mlp.experts.27", "model.language_model.layers.29.mlp.experts.28", "model.language_model.layers.29.mlp.experts.29", "model.language_model.layers.29.mlp.experts.30", "model.language_model.layers.29.mlp.experts.31", "model.language_model.layers.29.mlp.experts.32", "model.language_model.layers.29.mlp.experts.33", "model.language_model.layers.29.mlp.experts.34", "model.language_model.layers.29.mlp.experts.35", "model.language_model.layers.29.mlp.experts.36", "model.language_model.layers.29.mlp.experts.37", "model.language_model.layers.29.mlp.experts.38", "model.language_model.layers.29.mlp.experts.39", "model.language_model.layers.29.mlp.experts.40", "model.language_model.layers.29.mlp.experts.41", "model.language_model.layers.29.mlp.experts.42", "model.language_model.layers.29.mlp.experts.43", "model.language_model.layers.29.mlp.experts.44", "model.language_model.layers.29.mlp.experts.45", "model.language_model.layers.29.mlp.experts.46", "model.language_model.layers.29.mlp.experts.47", "model.language_model.layers.29.mlp.experts.48", "model.language_model.layers.29.mlp.experts.49", "model.language_model.layers.29.mlp.experts.50", "model.language_model.layers.29.mlp.experts.51", "model.language_model.layers.29.mlp.experts.52", "model.language_model.layers.29.mlp.experts.53", "model.language_model.layers.29.mlp.experts.54", "model.language_model.layers.29.mlp.experts.55", "model.language_model.layers.29.mlp.experts.56", "model.language_model.layers.29.mlp.experts.57", "model.language_model.layers.29.mlp.experts.58", "model.language_model.layers.29.mlp.experts.59", "model.language_model.layers.29.mlp.experts.60", "model.language_model.layers.29.mlp.experts.61", "model.language_model.layers.29.mlp.experts.62", "model.language_model.layers.29.mlp.experts.63", "model.language_model.layers.29.mlp.experts.64", "model.language_model.layers.29.mlp.experts.65", "model.language_model.layers.29.mlp.experts.66", "model.language_model.layers.29.mlp.experts.67", "model.language_model.layers.29.mlp.experts.68", "model.language_model.layers.29.mlp.experts.69", "model.language_model.layers.29.mlp.experts.70", "model.language_model.layers.29.mlp.experts.71", "model.language_model.layers.29.mlp.experts.72", "model.language_model.layers.29.mlp.experts.73", "model.language_model.layers.29.mlp.experts.74", "model.language_model.layers.29.mlp.experts.75", "model.language_model.layers.29.mlp.experts.76", "model.language_model.layers.29.mlp.experts.77", "model.language_model.layers.29.mlp.experts.78", "model.language_model.layers.29.mlp.experts.79", "model.language_model.layers.29.mlp.experts.80", "model.language_model.layers.29.mlp.experts.81", "model.language_model.layers.29.mlp.experts.82", "model.language_model.layers.29.mlp.experts.83", "model.language_model.layers.29.mlp.experts.84", "model.language_model.layers.29.mlp.experts.85", "model.language_model.layers.29.mlp.experts.86", "model.language_model.layers.29.mlp.experts.87", "model.language_model.layers.29.mlp.experts.88", "model.language_model.layers.29.mlp.experts.89", "model.language_model.layers.29.mlp.experts.90", "model.language_model.layers.29.mlp.experts.91", "model.language_model.layers.29.mlp.experts.92", "model.language_model.layers.29.mlp.experts.93", "model.language_model.layers.29.mlp.experts.94", "model.language_model.layers.29.mlp.experts.95", "model.language_model.layers.29.mlp.experts.96", "model.language_model.layers.29.mlp.experts.97", "model.language_model.layers.29.mlp.experts.98", "model.language_model.layers.29.mlp.experts.99", "model.language_model.layers.29.mlp.experts.100", "model.language_model.layers.29.mlp.experts.101", "model.language_model.layers.29.mlp.experts.102", "model.language_model.layers.29.mlp.experts.103", "model.language_model.layers.29.mlp.experts.104", "model.language_model.layers.29.mlp.experts.105", "model.language_model.layers.29.mlp.experts.106", "model.language_model.layers.29.mlp.experts.107", "model.language_model.layers.29.mlp.experts.108", "model.language_model.layers.29.mlp.experts.109", "model.language_model.layers.29.mlp.experts.110", "model.language_model.layers.29.mlp.experts.111", "model.language_model.layers.29.mlp.experts.112", "model.language_model.layers.29.mlp.experts.113", "model.language_model.layers.29.mlp.experts.114", "model.language_model.layers.29.mlp.experts.115", "model.language_model.layers.29.mlp.experts.116", "model.language_model.layers.29.mlp.experts.117", "model.language_model.layers.29.mlp.experts.118", "model.language_model.layers.29.mlp.experts.119", "model.language_model.layers.29.mlp.experts.120", "model.language_model.layers.29.mlp.experts.121", "model.language_model.layers.29.mlp.experts.122", "model.language_model.layers.29.mlp.experts.123", "model.language_model.layers.29.mlp.experts.124", "model.language_model.layers.29.mlp.experts.125", "model.language_model.layers.29.mlp.experts.126", "model.language_model.layers.29.mlp.experts.127", "model.language_model.layers.29.mlp.experts.128", "model.language_model.layers.29.mlp.experts.129", "model.language_model.layers.29.mlp.experts.130", "model.language_model.layers.29.mlp.experts.131", "model.language_model.layers.29.mlp.experts.132", "model.language_model.layers.29.mlp.experts.133", "model.language_model.layers.29.mlp.experts.134", "model.language_model.layers.29.mlp.experts.135", "model.language_model.layers.29.mlp.experts.136", "model.language_model.layers.29.mlp.experts.137", "model.language_model.layers.29.mlp.experts.138", "model.language_model.layers.29.mlp.experts.139", "model.language_model.layers.29.mlp.experts.140", "model.language_model.layers.29.mlp.experts.141", "model.language_model.layers.29.mlp.experts.142", "model.language_model.layers.29.mlp.experts.143", "model.language_model.layers.29.mlp.experts.144", "model.language_model.layers.29.mlp.experts.145", "model.language_model.layers.29.mlp.experts.146", "model.language_model.layers.29.mlp.experts.147", "model.language_model.layers.29.mlp.experts.148", "model.language_model.layers.29.mlp.experts.149", "model.language_model.layers.29.mlp.experts.150", "model.language_model.layers.29.mlp.experts.151", "model.language_model.layers.29.mlp.experts.152", "model.language_model.layers.29.mlp.experts.153", "model.language_model.layers.29.mlp.experts.154", "model.language_model.layers.29.mlp.experts.155", "model.language_model.layers.29.mlp.experts.156", "model.language_model.layers.29.mlp.experts.157", "model.language_model.layers.29.mlp.experts.158", "model.language_model.layers.29.mlp.experts.159", "model.language_model.layers.29.mlp.experts.160", "model.language_model.layers.29.mlp.experts.161", "model.language_model.layers.29.mlp.experts.162", "model.language_model.layers.29.mlp.experts.163", "model.language_model.layers.29.mlp.experts.164", "model.language_model.layers.29.mlp.experts.165", "model.language_model.layers.29.mlp.experts.166", "model.language_model.layers.29.mlp.experts.167", "model.language_model.layers.29.mlp.experts.168", "model.language_model.layers.29.mlp.experts.169", "model.language_model.layers.29.mlp.experts.170", "model.language_model.layers.29.mlp.experts.171", "model.language_model.layers.29.mlp.experts.172", "model.language_model.layers.29.mlp.experts.173", "model.language_model.layers.29.mlp.experts.174", "model.language_model.layers.29.mlp.experts.175", "model.language_model.layers.29.mlp.experts.176", "model.language_model.layers.29.mlp.experts.177", "model.language_model.layers.29.mlp.experts.178", "model.language_model.layers.29.mlp.experts.179", "model.language_model.layers.29.mlp.experts.180", "model.language_model.layers.29.mlp.experts.181", "model.language_model.layers.29.mlp.experts.182", "model.language_model.layers.29.mlp.experts.183", "model.language_model.layers.29.mlp.experts.184", "model.language_model.layers.29.mlp.experts.185", "model.language_model.layers.29.mlp.experts.186", "model.language_model.layers.29.mlp.experts.187", "model.language_model.layers.29.mlp.experts.188", "model.language_model.layers.29.mlp.experts.189", "model.language_model.layers.29.mlp.experts.190", "model.language_model.layers.29.mlp.experts.191", "model.language_model.layers.29.mlp.experts.192", "model.language_model.layers.29.mlp.experts.193", "model.language_model.layers.29.mlp.experts.194", "model.language_model.layers.29.mlp.experts.195", "model.language_model.layers.29.mlp.experts.196", "model.language_model.layers.29.mlp.experts.197", "model.language_model.layers.29.mlp.experts.198", "model.language_model.layers.29.mlp.experts.199", "model.language_model.layers.29.mlp.experts.200", "model.language_model.layers.29.mlp.experts.201", "model.language_model.layers.29.mlp.experts.202", "model.language_model.layers.29.mlp.experts.203", "model.language_model.layers.29.mlp.experts.204", "model.language_model.layers.29.mlp.experts.205", "model.language_model.layers.29.mlp.experts.206", "model.language_model.layers.29.mlp.experts.207", "model.language_model.layers.29.mlp.experts.208", "model.language_model.layers.29.mlp.experts.209", "model.language_model.layers.29.mlp.experts.210", "model.language_model.layers.29.mlp.experts.211", "model.language_model.layers.29.mlp.experts.212", "model.language_model.layers.29.mlp.experts.213", "model.language_model.layers.29.mlp.experts.214", "model.language_model.layers.29.mlp.experts.215", "model.language_model.layers.29.mlp.experts.216", "model.language_model.layers.29.mlp.experts.217", "model.language_model.layers.29.mlp.experts.218", "model.language_model.layers.29.mlp.experts.219", "model.language_model.layers.29.mlp.experts.220", "model.language_model.layers.29.mlp.experts.221", "model.language_model.layers.29.mlp.experts.222", "model.language_model.layers.29.mlp.experts.223", "model.language_model.layers.29.mlp.experts.224", "model.language_model.layers.29.mlp.experts.225", "model.language_model.layers.29.mlp.experts.226", "model.language_model.layers.29.mlp.experts.227", "model.language_model.layers.29.mlp.experts.228", "model.language_model.layers.29.mlp.experts.229", "model.language_model.layers.29.mlp.experts.230", "model.language_model.layers.29.mlp.experts.231", "model.language_model.layers.29.mlp.experts.232", "model.language_model.layers.29.mlp.experts.233", "model.language_model.layers.29.mlp.experts.234", "model.language_model.layers.29.mlp.experts.235", "model.language_model.layers.29.mlp.experts.236", "model.language_model.layers.29.mlp.experts.237", "model.language_model.layers.29.mlp.experts.238", "model.language_model.layers.29.mlp.experts.239", "model.language_model.layers.29.mlp.experts.240", "model.language_model.layers.29.mlp.experts.241", "model.language_model.layers.29.mlp.experts.242", "model.language_model.layers.29.mlp.experts.243", "model.language_model.layers.29.mlp.experts.244", "model.language_model.layers.29.mlp.experts.245", "model.language_model.layers.29.mlp.experts.246", "model.language_model.layers.29.mlp.experts.247", "model.language_model.layers.29.mlp.experts.248", "model.language_model.layers.29.mlp.experts.249", "model.language_model.layers.29.mlp.experts.250", "model.language_model.layers.29.mlp.experts.251", "model.language_model.layers.29.mlp.experts.252", "model.language_model.layers.29.mlp.experts.253", "model.language_model.layers.29.mlp.experts.254", "model.language_model.layers.29.mlp.experts.255", "model.language_model.layers.29.mlp.shared_expert_gate", "model.language_model.layers.30.linear_attn", "model.language_model.layers.30.linear_attn.norm", "model.language_model.layers.30.linear_attn.in_proj_b", "model.language_model.layers.30.linear_attn.in_proj_a", "model.language_model.layers.30.mlp.gate", "model.language_model.layers.30.mlp.experts.0", "model.language_model.layers.30.mlp.experts.1", "model.language_model.layers.30.mlp.experts.2", "model.language_model.layers.30.mlp.experts.3", "model.language_model.layers.30.mlp.experts.4", "model.language_model.layers.30.mlp.experts.5", "model.language_model.layers.30.mlp.experts.6", "model.language_model.layers.30.mlp.experts.7", "model.language_model.layers.30.mlp.experts.8", "model.language_model.layers.30.mlp.experts.9", "model.language_model.layers.30.mlp.experts.10", "model.language_model.layers.30.mlp.experts.11", "model.language_model.layers.30.mlp.experts.12", "model.language_model.layers.30.mlp.experts.13", "model.language_model.layers.30.mlp.experts.14", "model.language_model.layers.30.mlp.experts.15", "model.language_model.layers.30.mlp.experts.16", "model.language_model.layers.30.mlp.experts.17", "model.language_model.layers.30.mlp.experts.18", "model.language_model.layers.30.mlp.experts.19", "model.language_model.layers.30.mlp.experts.20", "model.language_model.layers.30.mlp.experts.21", "model.language_model.layers.30.mlp.experts.22", "model.language_model.layers.30.mlp.experts.23", "model.language_model.layers.30.mlp.experts.24", "model.language_model.layers.30.mlp.experts.25", "model.language_model.layers.30.mlp.experts.26", "model.language_model.layers.30.mlp.experts.27", "model.language_model.layers.30.mlp.experts.28", "model.language_model.layers.30.mlp.experts.29", "model.language_model.layers.30.mlp.experts.30", "model.language_model.layers.30.mlp.experts.31", "model.language_model.layers.30.mlp.experts.32", "model.language_model.layers.30.mlp.experts.33", "model.language_model.layers.30.mlp.experts.34", "model.language_model.layers.30.mlp.experts.35", "model.language_model.layers.30.mlp.experts.36", "model.language_model.layers.30.mlp.experts.37", "model.language_model.layers.30.mlp.experts.38", "model.language_model.layers.30.mlp.experts.39", "model.language_model.layers.30.mlp.experts.40", "model.language_model.layers.30.mlp.experts.41", "model.language_model.layers.30.mlp.experts.42", "model.language_model.layers.30.mlp.experts.43", "model.language_model.layers.30.mlp.experts.44", "model.language_model.layers.30.mlp.experts.45", "model.language_model.layers.30.mlp.experts.46", "model.language_model.layers.30.mlp.experts.47", "model.language_model.layers.30.mlp.experts.48", "model.language_model.layers.30.mlp.experts.49", "model.language_model.layers.30.mlp.experts.50", "model.language_model.layers.30.mlp.experts.51", "model.language_model.layers.30.mlp.experts.52", "model.language_model.layers.30.mlp.experts.53", "model.language_model.layers.30.mlp.experts.54", "model.language_model.layers.30.mlp.experts.55", "model.language_model.layers.30.mlp.experts.56", "model.language_model.layers.30.mlp.experts.57", "model.language_model.layers.30.mlp.experts.58", "model.language_model.layers.30.mlp.experts.59", "model.language_model.layers.30.mlp.experts.60", "model.language_model.layers.30.mlp.experts.61", "model.language_model.layers.30.mlp.experts.62", "model.language_model.layers.30.mlp.experts.63", "model.language_model.layers.30.mlp.experts.64", "model.language_model.layers.30.mlp.experts.65", "model.language_model.layers.30.mlp.experts.66", "model.language_model.layers.30.mlp.experts.67", "model.language_model.layers.30.mlp.experts.68", "model.language_model.layers.30.mlp.experts.69", "model.language_model.layers.30.mlp.experts.70", "model.language_model.layers.30.mlp.experts.71", "model.language_model.layers.30.mlp.experts.72", "model.language_model.layers.30.mlp.experts.73", "model.language_model.layers.30.mlp.experts.74", "model.language_model.layers.30.mlp.experts.75", "model.language_model.layers.30.mlp.experts.76", "model.language_model.layers.30.mlp.experts.77", "model.language_model.layers.30.mlp.experts.78", "model.language_model.layers.30.mlp.experts.79", "model.language_model.layers.30.mlp.experts.80", "model.language_model.layers.30.mlp.experts.81", "model.language_model.layers.30.mlp.experts.82", "model.language_model.layers.30.mlp.experts.83", "model.language_model.layers.30.mlp.experts.84", "model.language_model.layers.30.mlp.experts.85", "model.language_model.layers.30.mlp.experts.86", "model.language_model.layers.30.mlp.experts.87", "model.language_model.layers.30.mlp.experts.88", "model.language_model.layers.30.mlp.experts.89", "model.language_model.layers.30.mlp.experts.90", "model.language_model.layers.30.mlp.experts.91", "model.language_model.layers.30.mlp.experts.92", "model.language_model.layers.30.mlp.experts.93", "model.language_model.layers.30.mlp.experts.94", "model.language_model.layers.30.mlp.experts.95", "model.language_model.layers.30.mlp.experts.96", "model.language_model.layers.30.mlp.experts.97", "model.language_model.layers.30.mlp.experts.98", "model.language_model.layers.30.mlp.experts.99", "model.language_model.layers.30.mlp.experts.100", "model.language_model.layers.30.mlp.experts.101", "model.language_model.layers.30.mlp.experts.102", "model.language_model.layers.30.mlp.experts.103", "model.language_model.layers.30.mlp.experts.104", "model.language_model.layers.30.mlp.experts.105", "model.language_model.layers.30.mlp.experts.106", "model.language_model.layers.30.mlp.experts.107", "model.language_model.layers.30.mlp.experts.108", "model.language_model.layers.30.mlp.experts.109", "model.language_model.layers.30.mlp.experts.110", "model.language_model.layers.30.mlp.experts.111", "model.language_model.layers.30.mlp.experts.112", "model.language_model.layers.30.mlp.experts.113", "model.language_model.layers.30.mlp.experts.114", "model.language_model.layers.30.mlp.experts.115", "model.language_model.layers.30.mlp.experts.116", "model.language_model.layers.30.mlp.experts.117", "model.language_model.layers.30.mlp.experts.118", "model.language_model.layers.30.mlp.experts.119", "model.language_model.layers.30.mlp.experts.120", "model.language_model.layers.30.mlp.experts.121", "model.language_model.layers.30.mlp.experts.122", "model.language_model.layers.30.mlp.experts.123", "model.language_model.layers.30.mlp.experts.124", "model.language_model.layers.30.mlp.experts.125", "model.language_model.layers.30.mlp.experts.126", "model.language_model.layers.30.mlp.experts.127", "model.language_model.layers.30.mlp.experts.128", "model.language_model.layers.30.mlp.experts.129", "model.language_model.layers.30.mlp.experts.130", "model.language_model.layers.30.mlp.experts.131", "model.language_model.layers.30.mlp.experts.132", "model.language_model.layers.30.mlp.experts.133", "model.language_model.layers.30.mlp.experts.134", "model.language_model.layers.30.mlp.experts.135", "model.language_model.layers.30.mlp.experts.136", "model.language_model.layers.30.mlp.experts.137", "model.language_model.layers.30.mlp.experts.138", "model.language_model.layers.30.mlp.experts.139", "model.language_model.layers.30.mlp.experts.140", "model.language_model.layers.30.mlp.experts.141", "model.language_model.layers.30.mlp.experts.142", "model.language_model.layers.30.mlp.experts.143", "model.language_model.layers.30.mlp.experts.144", "model.language_model.layers.30.mlp.experts.145", "model.language_model.layers.30.mlp.experts.146", "model.language_model.layers.30.mlp.experts.147", "model.language_model.layers.30.mlp.experts.148", "model.language_model.layers.30.mlp.experts.149", "model.language_model.layers.30.mlp.experts.150", "model.language_model.layers.30.mlp.experts.151", "model.language_model.layers.30.mlp.experts.152", "model.language_model.layers.30.mlp.experts.153", "model.language_model.layers.30.mlp.experts.154", "model.language_model.layers.30.mlp.experts.155", "model.language_model.layers.30.mlp.experts.156", "model.language_model.layers.30.mlp.experts.157", "model.language_model.layers.30.mlp.experts.158", "model.language_model.layers.30.mlp.experts.159", "model.language_model.layers.30.mlp.experts.160", "model.language_model.layers.30.mlp.experts.161", "model.language_model.layers.30.mlp.experts.162", "model.language_model.layers.30.mlp.experts.163", "model.language_model.layers.30.mlp.experts.164", "model.language_model.layers.30.mlp.experts.165", "model.language_model.layers.30.mlp.experts.166", "model.language_model.layers.30.mlp.experts.167", "model.language_model.layers.30.mlp.experts.168", "model.language_model.layers.30.mlp.experts.169", "model.language_model.layers.30.mlp.experts.170", "model.language_model.layers.30.mlp.experts.171", "model.language_model.layers.30.mlp.experts.172", "model.language_model.layers.30.mlp.experts.173", "model.language_model.layers.30.mlp.experts.174", "model.language_model.layers.30.mlp.experts.175", "model.language_model.layers.30.mlp.experts.176", "model.language_model.layers.30.mlp.experts.177", "model.language_model.layers.30.mlp.experts.178", "model.language_model.layers.30.mlp.experts.179", "model.language_model.layers.30.mlp.experts.180", "model.language_model.layers.30.mlp.experts.181", "model.language_model.layers.30.mlp.experts.182", "model.language_model.layers.30.mlp.experts.183", "model.language_model.layers.30.mlp.experts.184", "model.language_model.layers.30.mlp.experts.185", "model.language_model.layers.30.mlp.experts.186", "model.language_model.layers.30.mlp.experts.187", "model.language_model.layers.30.mlp.experts.188", "model.language_model.layers.30.mlp.experts.189", "model.language_model.layers.30.mlp.experts.190", "model.language_model.layers.30.mlp.experts.191", "model.language_model.layers.30.mlp.experts.192", "model.language_model.layers.30.mlp.experts.193", "model.language_model.layers.30.mlp.experts.194", "model.language_model.layers.30.mlp.experts.195", "model.language_model.layers.30.mlp.experts.196", "model.language_model.layers.30.mlp.experts.197", "model.language_model.layers.30.mlp.experts.198", "model.language_model.layers.30.mlp.experts.199", "model.language_model.layers.30.mlp.experts.200", "model.language_model.layers.30.mlp.experts.201", "model.language_model.layers.30.mlp.experts.202", "model.language_model.layers.30.mlp.experts.203", "model.language_model.layers.30.mlp.experts.204", "model.language_model.layers.30.mlp.experts.205", "model.language_model.layers.30.mlp.experts.206", "model.language_model.layers.30.mlp.experts.207", "model.language_model.layers.30.mlp.experts.208", "model.language_model.layers.30.mlp.experts.209", "model.language_model.layers.30.mlp.experts.210", "model.language_model.layers.30.mlp.experts.211", "model.language_model.layers.30.mlp.experts.212", "model.language_model.layers.30.mlp.experts.213", "model.language_model.layers.30.mlp.experts.214", "model.language_model.layers.30.mlp.experts.215", "model.language_model.layers.30.mlp.experts.216", "model.language_model.layers.30.mlp.experts.217", "model.language_model.layers.30.mlp.experts.218", "model.language_model.layers.30.mlp.experts.219", "model.language_model.layers.30.mlp.experts.220", "model.language_model.layers.30.mlp.experts.221", "model.language_model.layers.30.mlp.experts.222", "model.language_model.layers.30.mlp.experts.223", "model.language_model.layers.30.mlp.experts.224", "model.language_model.layers.30.mlp.experts.225", "model.language_model.layers.30.mlp.experts.226", "model.language_model.layers.30.mlp.experts.227", "model.language_model.layers.30.mlp.experts.228", "model.language_model.layers.30.mlp.experts.229", "model.language_model.layers.30.mlp.experts.230", "model.language_model.layers.30.mlp.experts.231", "model.language_model.layers.30.mlp.experts.232", "model.language_model.layers.30.mlp.experts.233", "model.language_model.layers.30.mlp.experts.234", "model.language_model.layers.30.mlp.experts.235", "model.language_model.layers.30.mlp.experts.236", "model.language_model.layers.30.mlp.experts.237", "model.language_model.layers.30.mlp.experts.238", "model.language_model.layers.30.mlp.experts.239", "model.language_model.layers.30.mlp.experts.240", "model.language_model.layers.30.mlp.experts.241", "model.language_model.layers.30.mlp.experts.242", "model.language_model.layers.30.mlp.experts.243", "model.language_model.layers.30.mlp.experts.244", "model.language_model.layers.30.mlp.experts.245", "model.language_model.layers.30.mlp.experts.246", "model.language_model.layers.30.mlp.experts.247", "model.language_model.layers.30.mlp.experts.248", "model.language_model.layers.30.mlp.experts.249", "model.language_model.layers.30.mlp.experts.250", "model.language_model.layers.30.mlp.experts.251", "model.language_model.layers.30.mlp.experts.252", "model.language_model.layers.30.mlp.experts.253", "model.language_model.layers.30.mlp.experts.254", "model.language_model.layers.30.mlp.experts.255", "model.language_model.layers.30.mlp.shared_expert_gate", "model.language_model.layers.31.mlp.gate", "model.language_model.layers.31.mlp.experts.0", "model.language_model.layers.31.mlp.experts.1", "model.language_model.layers.31.mlp.experts.2", "model.language_model.layers.31.mlp.experts.3", "model.language_model.layers.31.mlp.experts.4", "model.language_model.layers.31.mlp.experts.5", "model.language_model.layers.31.mlp.experts.6", "model.language_model.layers.31.mlp.experts.7", "model.language_model.layers.31.mlp.experts.8", "model.language_model.layers.31.mlp.experts.9", "model.language_model.layers.31.mlp.experts.10", "model.language_model.layers.31.mlp.experts.11", "model.language_model.layers.31.mlp.experts.12", "model.language_model.layers.31.mlp.experts.13", "model.language_model.layers.31.mlp.experts.14", "model.language_model.layers.31.mlp.experts.15", "model.language_model.layers.31.mlp.experts.16", "model.language_model.layers.31.mlp.experts.17", "model.language_model.layers.31.mlp.experts.18", "model.language_model.layers.31.mlp.experts.19", "model.language_model.layers.31.mlp.experts.20", "model.language_model.layers.31.mlp.experts.21", "model.language_model.layers.31.mlp.experts.22", "model.language_model.layers.31.mlp.experts.23", "model.language_model.layers.31.mlp.experts.24", "model.language_model.layers.31.mlp.experts.25", "model.language_model.layers.31.mlp.experts.26", "model.language_model.layers.31.mlp.experts.27", "model.language_model.layers.31.mlp.experts.28", "model.language_model.layers.31.mlp.experts.29", "model.language_model.layers.31.mlp.experts.30", "model.language_model.layers.31.mlp.experts.31", "model.language_model.layers.31.mlp.experts.32", "model.language_model.layers.31.mlp.experts.33", "model.language_model.layers.31.mlp.experts.34", "model.language_model.layers.31.mlp.experts.35", "model.language_model.layers.31.mlp.experts.36", "model.language_model.layers.31.mlp.experts.37", "model.language_model.layers.31.mlp.experts.38", "model.language_model.layers.31.mlp.experts.39", "model.language_model.layers.31.mlp.experts.40", "model.language_model.layers.31.mlp.experts.41", "model.language_model.layers.31.mlp.experts.42", "model.language_model.layers.31.mlp.experts.43", "model.language_model.layers.31.mlp.experts.44", "model.language_model.layers.31.mlp.experts.45", "model.language_model.layers.31.mlp.experts.46", "model.language_model.layers.31.mlp.experts.47", "model.language_model.layers.31.mlp.experts.48", "model.language_model.layers.31.mlp.experts.49", "model.language_model.layers.31.mlp.experts.50", "model.language_model.layers.31.mlp.experts.51", "model.language_model.layers.31.mlp.experts.52", "model.language_model.layers.31.mlp.experts.53", "model.language_model.layers.31.mlp.experts.54", "model.language_model.layers.31.mlp.experts.55", "model.language_model.layers.31.mlp.experts.56", "model.language_model.layers.31.mlp.experts.57", "model.language_model.layers.31.mlp.experts.58", "model.language_model.layers.31.mlp.experts.59", "model.language_model.layers.31.mlp.experts.60", "model.language_model.layers.31.mlp.experts.61", "model.language_model.layers.31.mlp.experts.62", "model.language_model.layers.31.mlp.experts.63", "model.language_model.layers.31.mlp.experts.64", "model.language_model.layers.31.mlp.experts.65", "model.language_model.layers.31.mlp.experts.66", "model.language_model.layers.31.mlp.experts.67", "model.language_model.layers.31.mlp.experts.68", "model.language_model.layers.31.mlp.experts.69", "model.language_model.layers.31.mlp.experts.70", "model.language_model.layers.31.mlp.experts.71", "model.language_model.layers.31.mlp.experts.72", "model.language_model.layers.31.mlp.experts.73", "model.language_model.layers.31.mlp.experts.74", "model.language_model.layers.31.mlp.experts.75", "model.language_model.layers.31.mlp.experts.76", "model.language_model.layers.31.mlp.experts.77", "model.language_model.layers.31.mlp.experts.78", "model.language_model.layers.31.mlp.experts.79", "model.language_model.layers.31.mlp.experts.80", "model.language_model.layers.31.mlp.experts.81", "model.language_model.layers.31.mlp.experts.82", "model.language_model.layers.31.mlp.experts.83", "model.language_model.layers.31.mlp.experts.84", "model.language_model.layers.31.mlp.experts.85", "model.language_model.layers.31.mlp.experts.86", "model.language_model.layers.31.mlp.experts.87", "model.language_model.layers.31.mlp.experts.88", "model.language_model.layers.31.mlp.experts.89", "model.language_model.layers.31.mlp.experts.90", "model.language_model.layers.31.mlp.experts.91", "model.language_model.layers.31.mlp.experts.92", "model.language_model.layers.31.mlp.experts.93", "model.language_model.layers.31.mlp.experts.94", "model.language_model.layers.31.mlp.experts.95", "model.language_model.layers.31.mlp.experts.96", "model.language_model.layers.31.mlp.experts.97", "model.language_model.layers.31.mlp.experts.98", "model.language_model.layers.31.mlp.experts.99", "model.language_model.layers.31.mlp.experts.100", "model.language_model.layers.31.mlp.experts.101", "model.language_model.layers.31.mlp.experts.102", "model.language_model.layers.31.mlp.experts.103", "model.language_model.layers.31.mlp.experts.104", "model.language_model.layers.31.mlp.experts.105", "model.language_model.layers.31.mlp.experts.106", "model.language_model.layers.31.mlp.experts.107", "model.language_model.layers.31.mlp.experts.108", "model.language_model.layers.31.mlp.experts.109", "model.language_model.layers.31.mlp.experts.110", "model.language_model.layers.31.mlp.experts.111", "model.language_model.layers.31.mlp.experts.112", "model.language_model.layers.31.mlp.experts.113", "model.language_model.layers.31.mlp.experts.114", "model.language_model.layers.31.mlp.experts.115", "model.language_model.layers.31.mlp.experts.116", "model.language_model.layers.31.mlp.experts.117", "model.language_model.layers.31.mlp.experts.118", "model.language_model.layers.31.mlp.experts.119", "model.language_model.layers.31.mlp.experts.120", "model.language_model.layers.31.mlp.experts.121", "model.language_model.layers.31.mlp.experts.122", "model.language_model.layers.31.mlp.experts.123", "model.language_model.layers.31.mlp.experts.124", "model.language_model.layers.31.mlp.experts.125", "model.language_model.layers.31.mlp.experts.126", "model.language_model.layers.31.mlp.experts.127", "model.language_model.layers.31.mlp.experts.128", "model.language_model.layers.31.mlp.experts.129", "model.language_model.layers.31.mlp.experts.130", "model.language_model.layers.31.mlp.experts.131", "model.language_model.layers.31.mlp.experts.132", "model.language_model.layers.31.mlp.experts.133", "model.language_model.layers.31.mlp.experts.134", "model.language_model.layers.31.mlp.experts.135", "model.language_model.layers.31.mlp.experts.136", "model.language_model.layers.31.mlp.experts.137", "model.language_model.layers.31.mlp.experts.138", "model.language_model.layers.31.mlp.experts.139", "model.language_model.layers.31.mlp.experts.140", "model.language_model.layers.31.mlp.experts.141", "model.language_model.layers.31.mlp.experts.142", "model.language_model.layers.31.mlp.experts.143", "model.language_model.layers.31.mlp.experts.144", "model.language_model.layers.31.mlp.experts.145", "model.language_model.layers.31.mlp.experts.146", "model.language_model.layers.31.mlp.experts.147", "model.language_model.layers.31.mlp.experts.148", "model.language_model.layers.31.mlp.experts.149", "model.language_model.layers.31.mlp.experts.150", "model.language_model.layers.31.mlp.experts.151", "model.language_model.layers.31.mlp.experts.152", "model.language_model.layers.31.mlp.experts.153", "model.language_model.layers.31.mlp.experts.154", "model.language_model.layers.31.mlp.experts.155", "model.language_model.layers.31.mlp.experts.156", "model.language_model.layers.31.mlp.experts.157", "model.language_model.layers.31.mlp.experts.158", "model.language_model.layers.31.mlp.experts.159", "model.language_model.layers.31.mlp.experts.160", "model.language_model.layers.31.mlp.experts.161", "model.language_model.layers.31.mlp.experts.162", "model.language_model.layers.31.mlp.experts.163", "model.language_model.layers.31.mlp.experts.164", "model.language_model.layers.31.mlp.experts.165", "model.language_model.layers.31.mlp.experts.166", "model.language_model.layers.31.mlp.experts.167", "model.language_model.layers.31.mlp.experts.168", "model.language_model.layers.31.mlp.experts.169", "model.language_model.layers.31.mlp.experts.170", "model.language_model.layers.31.mlp.experts.171", "model.language_model.layers.31.mlp.experts.172", "model.language_model.layers.31.mlp.experts.173", "model.language_model.layers.31.mlp.experts.174", "model.language_model.layers.31.mlp.experts.175", "model.language_model.layers.31.mlp.experts.176", "model.language_model.layers.31.mlp.experts.177", "model.language_model.layers.31.mlp.experts.178", "model.language_model.layers.31.mlp.experts.179", "model.language_model.layers.31.mlp.experts.180", "model.language_model.layers.31.mlp.experts.181", "model.language_model.layers.31.mlp.experts.182", "model.language_model.layers.31.mlp.experts.183", "model.language_model.layers.31.mlp.experts.184", "model.language_model.layers.31.mlp.experts.185", "model.language_model.layers.31.mlp.experts.186", "model.language_model.layers.31.mlp.experts.187", "model.language_model.layers.31.mlp.experts.188", "model.language_model.layers.31.mlp.experts.189", "model.language_model.layers.31.mlp.experts.190", "model.language_model.layers.31.mlp.experts.191", "model.language_model.layers.31.mlp.experts.192", "model.language_model.layers.31.mlp.experts.193", "model.language_model.layers.31.mlp.experts.194", "model.language_model.layers.31.mlp.experts.195", "model.language_model.layers.31.mlp.experts.196", "model.language_model.layers.31.mlp.experts.197", "model.language_model.layers.31.mlp.experts.198", "model.language_model.layers.31.mlp.experts.199", "model.language_model.layers.31.mlp.experts.200", "model.language_model.layers.31.mlp.experts.201", "model.language_model.layers.31.mlp.experts.202", "model.language_model.layers.31.mlp.experts.203", "model.language_model.layers.31.mlp.experts.204", "model.language_model.layers.31.mlp.experts.205", "model.language_model.layers.31.mlp.experts.206", "model.language_model.layers.31.mlp.experts.207", "model.language_model.layers.31.mlp.experts.208", "model.language_model.layers.31.mlp.experts.209", "model.language_model.layers.31.mlp.experts.210", "model.language_model.layers.31.mlp.experts.211", "model.language_model.layers.31.mlp.experts.212", "model.language_model.layers.31.mlp.experts.213", "model.language_model.layers.31.mlp.experts.214", "model.language_model.layers.31.mlp.experts.215", "model.language_model.layers.31.mlp.experts.216", "model.language_model.layers.31.mlp.experts.217", "model.language_model.layers.31.mlp.experts.218", "model.language_model.layers.31.mlp.experts.219", "model.language_model.layers.31.mlp.experts.220", "model.language_model.layers.31.mlp.experts.221", "model.language_model.layers.31.mlp.experts.222", "model.language_model.layers.31.mlp.experts.223", "model.language_model.layers.31.mlp.experts.224", "model.language_model.layers.31.mlp.experts.225", "model.language_model.layers.31.mlp.experts.226", "model.language_model.layers.31.mlp.experts.227", "model.language_model.layers.31.mlp.experts.228", "model.language_model.layers.31.mlp.experts.229", "model.language_model.layers.31.mlp.experts.230", "model.language_model.layers.31.mlp.experts.231", "model.language_model.layers.31.mlp.experts.232", "model.language_model.layers.31.mlp.experts.233", "model.language_model.layers.31.mlp.experts.234", "model.language_model.layers.31.mlp.experts.235", "model.language_model.layers.31.mlp.experts.236", "model.language_model.layers.31.mlp.experts.237", "model.language_model.layers.31.mlp.experts.238", "model.language_model.layers.31.mlp.experts.239", "model.language_model.layers.31.mlp.experts.240", "model.language_model.layers.31.mlp.experts.241", "model.language_model.layers.31.mlp.experts.242", "model.language_model.layers.31.mlp.experts.243", "model.language_model.layers.31.mlp.experts.244", "model.language_model.layers.31.mlp.experts.245", "model.language_model.layers.31.mlp.experts.246", "model.language_model.layers.31.mlp.experts.247", "model.language_model.layers.31.mlp.experts.248", "model.language_model.layers.31.mlp.experts.249", "model.language_model.layers.31.mlp.experts.250", "model.language_model.layers.31.mlp.experts.251", "model.language_model.layers.31.mlp.experts.252", "model.language_model.layers.31.mlp.experts.253", "model.language_model.layers.31.mlp.experts.254", "model.language_model.layers.31.mlp.experts.255", "model.language_model.layers.31.mlp.shared_expert_gate", "model.language_model.layers.32.linear_attn", "model.language_model.layers.32.linear_attn.norm", "model.language_model.layers.32.linear_attn.in_proj_b", "model.language_model.layers.32.linear_attn.in_proj_a", "model.language_model.layers.32.mlp.gate", "model.language_model.layers.32.mlp.experts.0", "model.language_model.layers.32.mlp.experts.1", "model.language_model.layers.32.mlp.experts.2", "model.language_model.layers.32.mlp.experts.3", "model.language_model.layers.32.mlp.experts.4", "model.language_model.layers.32.mlp.experts.5", "model.language_model.layers.32.mlp.experts.6", "model.language_model.layers.32.mlp.experts.7", "model.language_model.layers.32.mlp.experts.8", "model.language_model.layers.32.mlp.experts.9", "model.language_model.layers.32.mlp.experts.10", "model.language_model.layers.32.mlp.experts.11", "model.language_model.layers.32.mlp.experts.12", "model.language_model.layers.32.mlp.experts.13", "model.language_model.layers.32.mlp.experts.14", "model.language_model.layers.32.mlp.experts.15", "model.language_model.layers.32.mlp.experts.16", "model.language_model.layers.32.mlp.experts.17", "model.language_model.layers.32.mlp.experts.18", "model.language_model.layers.32.mlp.experts.19", "model.language_model.layers.32.mlp.experts.20", "model.language_model.layers.32.mlp.experts.21", "model.language_model.layers.32.mlp.experts.22", "model.language_model.layers.32.mlp.experts.23", "model.language_model.layers.32.mlp.experts.24", "model.language_model.layers.32.mlp.experts.25", "model.language_model.layers.32.mlp.experts.26", "model.language_model.layers.32.mlp.experts.27", "model.language_model.layers.32.mlp.experts.28", "model.language_model.layers.32.mlp.experts.29", "model.language_model.layers.32.mlp.experts.30", "model.language_model.layers.32.mlp.experts.31", "model.language_model.layers.32.mlp.experts.32", "model.language_model.layers.32.mlp.experts.33", "model.language_model.layers.32.mlp.experts.34", "model.language_model.layers.32.mlp.experts.35", "model.language_model.layers.32.mlp.experts.36", "model.language_model.layers.32.mlp.experts.37", "model.language_model.layers.32.mlp.experts.38", "model.language_model.layers.32.mlp.experts.39", "model.language_model.layers.32.mlp.experts.40", "model.language_model.layers.32.mlp.experts.41", "model.language_model.layers.32.mlp.experts.42", "model.language_model.layers.32.mlp.experts.43", "model.language_model.layers.32.mlp.experts.44", "model.language_model.layers.32.mlp.experts.45", "model.language_model.layers.32.mlp.experts.46", "model.language_model.layers.32.mlp.experts.47", "model.language_model.layers.32.mlp.experts.48", "model.language_model.layers.32.mlp.experts.49", "model.language_model.layers.32.mlp.experts.50", "model.language_model.layers.32.mlp.experts.51", "model.language_model.layers.32.mlp.experts.52", "model.language_model.layers.32.mlp.experts.53", "model.language_model.layers.32.mlp.experts.54", "model.language_model.layers.32.mlp.experts.55", "model.language_model.layers.32.mlp.experts.56", "model.language_model.layers.32.mlp.experts.57", "model.language_model.layers.32.mlp.experts.58", "model.language_model.layers.32.mlp.experts.59", "model.language_model.layers.32.mlp.experts.60", "model.language_model.layers.32.mlp.experts.61", "model.language_model.layers.32.mlp.experts.62", "model.language_model.layers.32.mlp.experts.63", "model.language_model.layers.32.mlp.experts.64", "model.language_model.layers.32.mlp.experts.65", "model.language_model.layers.32.mlp.experts.66", "model.language_model.layers.32.mlp.experts.67", "model.language_model.layers.32.mlp.experts.68", "model.language_model.layers.32.mlp.experts.69", "model.language_model.layers.32.mlp.experts.70", "model.language_model.layers.32.mlp.experts.71", "model.language_model.layers.32.mlp.experts.72", "model.language_model.layers.32.mlp.experts.73", "model.language_model.layers.32.mlp.experts.74", "model.language_model.layers.32.mlp.experts.75", "model.language_model.layers.32.mlp.experts.76", "model.language_model.layers.32.mlp.experts.77", "model.language_model.layers.32.mlp.experts.78", "model.language_model.layers.32.mlp.experts.79", "model.language_model.layers.32.mlp.experts.80", "model.language_model.layers.32.mlp.experts.81", "model.language_model.layers.32.mlp.experts.82", "model.language_model.layers.32.mlp.experts.83", "model.language_model.layers.32.mlp.experts.84", "model.language_model.layers.32.mlp.experts.85", "model.language_model.layers.32.mlp.experts.86", "model.language_model.layers.32.mlp.experts.87", "model.language_model.layers.32.mlp.experts.88", "model.language_model.layers.32.mlp.experts.89", "model.language_model.layers.32.mlp.experts.90", "model.language_model.layers.32.mlp.experts.91", "model.language_model.layers.32.mlp.experts.92", "model.language_model.layers.32.mlp.experts.93", "model.language_model.layers.32.mlp.experts.94", "model.language_model.layers.32.mlp.experts.95", "model.language_model.layers.32.mlp.experts.96", "model.language_model.layers.32.mlp.experts.97", "model.language_model.layers.32.mlp.experts.98", "model.language_model.layers.32.mlp.experts.99", "model.language_model.layers.32.mlp.experts.100", "model.language_model.layers.32.mlp.experts.101", "model.language_model.layers.32.mlp.experts.102", "model.language_model.layers.32.mlp.experts.103", "model.language_model.layers.32.mlp.experts.104", "model.language_model.layers.32.mlp.experts.105", "model.language_model.layers.32.mlp.experts.106", "model.language_model.layers.32.mlp.experts.107", "model.language_model.layers.32.mlp.experts.108", "model.language_model.layers.32.mlp.experts.109", "model.language_model.layers.32.mlp.experts.110", "model.language_model.layers.32.mlp.experts.111", "model.language_model.layers.32.mlp.experts.112", "model.language_model.layers.32.mlp.experts.113", "model.language_model.layers.32.mlp.experts.114", "model.language_model.layers.32.mlp.experts.115", "model.language_model.layers.32.mlp.experts.116", "model.language_model.layers.32.mlp.experts.117", "model.language_model.layers.32.mlp.experts.118", "model.language_model.layers.32.mlp.experts.119", "model.language_model.layers.32.mlp.experts.120", "model.language_model.layers.32.mlp.experts.121", "model.language_model.layers.32.mlp.experts.122", "model.language_model.layers.32.mlp.experts.123", "model.language_model.layers.32.mlp.experts.124", "model.language_model.layers.32.mlp.experts.125", "model.language_model.layers.32.mlp.experts.126", "model.language_model.layers.32.mlp.experts.127", "model.language_model.layers.32.mlp.experts.128", "model.language_model.layers.32.mlp.experts.129", "model.language_model.layers.32.mlp.experts.130", "model.language_model.layers.32.mlp.experts.131", "model.language_model.layers.32.mlp.experts.132", "model.language_model.layers.32.mlp.experts.133", "model.language_model.layers.32.mlp.experts.134", "model.language_model.layers.32.mlp.experts.135", "model.language_model.layers.32.mlp.experts.136", "model.language_model.layers.32.mlp.experts.137", "model.language_model.layers.32.mlp.experts.138", "model.language_model.layers.32.mlp.experts.139", "model.language_model.layers.32.mlp.experts.140", "model.language_model.layers.32.mlp.experts.141", "model.language_model.layers.32.mlp.experts.142", "model.language_model.layers.32.mlp.experts.143", "model.language_model.layers.32.mlp.experts.144", "model.language_model.layers.32.mlp.experts.145", "model.language_model.layers.32.mlp.experts.146", "model.language_model.layers.32.mlp.experts.147", "model.language_model.layers.32.mlp.experts.148", "model.language_model.layers.32.mlp.experts.149", "model.language_model.layers.32.mlp.experts.150", "model.language_model.layers.32.mlp.experts.151", "model.language_model.layers.32.mlp.experts.152", "model.language_model.layers.32.mlp.experts.153", "model.language_model.layers.32.mlp.experts.154", "model.language_model.layers.32.mlp.experts.155", "model.language_model.layers.32.mlp.experts.156", "model.language_model.layers.32.mlp.experts.157", "model.language_model.layers.32.mlp.experts.158", "model.language_model.layers.32.mlp.experts.159", "model.language_model.layers.32.mlp.experts.160", "model.language_model.layers.32.mlp.experts.161", "model.language_model.layers.32.mlp.experts.162", "model.language_model.layers.32.mlp.experts.163", "model.language_model.layers.32.mlp.experts.164", "model.language_model.layers.32.mlp.experts.165", "model.language_model.layers.32.mlp.experts.166", "model.language_model.layers.32.mlp.experts.167", "model.language_model.layers.32.mlp.experts.168", "model.language_model.layers.32.mlp.experts.169", "model.language_model.layers.32.mlp.experts.170", "model.language_model.layers.32.mlp.experts.171", "model.language_model.layers.32.mlp.experts.172", "model.language_model.layers.32.mlp.experts.173", "model.language_model.layers.32.mlp.experts.174", "model.language_model.layers.32.mlp.experts.175", "model.language_model.layers.32.mlp.experts.176", "model.language_model.layers.32.mlp.experts.177", "model.language_model.layers.32.mlp.experts.178", "model.language_model.layers.32.mlp.experts.179", "model.language_model.layers.32.mlp.experts.180", "model.language_model.layers.32.mlp.experts.181", "model.language_model.layers.32.mlp.experts.182", "model.language_model.layers.32.mlp.experts.183", "model.language_model.layers.32.mlp.experts.184", "model.language_model.layers.32.mlp.experts.185", "model.language_model.layers.32.mlp.experts.186", "model.language_model.layers.32.mlp.experts.187", "model.language_model.layers.32.mlp.experts.188", "model.language_model.layers.32.mlp.experts.189", "model.language_model.layers.32.mlp.experts.190", "model.language_model.layers.32.mlp.experts.191", "model.language_model.layers.32.mlp.experts.192", "model.language_model.layers.32.mlp.experts.193", "model.language_model.layers.32.mlp.experts.194", "model.language_model.layers.32.mlp.experts.195", "model.language_model.layers.32.mlp.experts.196", "model.language_model.layers.32.mlp.experts.197", "model.language_model.layers.32.mlp.experts.198", "model.language_model.layers.32.mlp.experts.199", "model.language_model.layers.32.mlp.experts.200", "model.language_model.layers.32.mlp.experts.201", "model.language_model.layers.32.mlp.experts.202", "model.language_model.layers.32.mlp.experts.203", "model.language_model.layers.32.mlp.experts.204", "model.language_model.layers.32.mlp.experts.205", "model.language_model.layers.32.mlp.experts.206", "model.language_model.layers.32.mlp.experts.207", "model.language_model.layers.32.mlp.experts.208", "model.language_model.layers.32.mlp.experts.209", "model.language_model.layers.32.mlp.experts.210", "model.language_model.layers.32.mlp.experts.211", "model.language_model.layers.32.mlp.experts.212", "model.language_model.layers.32.mlp.experts.213", "model.language_model.layers.32.mlp.experts.214", "model.language_model.layers.32.mlp.experts.215", "model.language_model.layers.32.mlp.experts.216", "model.language_model.layers.32.mlp.experts.217", "model.language_model.layers.32.mlp.experts.218", "model.language_model.layers.32.mlp.experts.219", "model.language_model.layers.32.mlp.experts.220", "model.language_model.layers.32.mlp.experts.221", "model.language_model.layers.32.mlp.experts.222", "model.language_model.layers.32.mlp.experts.223", "model.language_model.layers.32.mlp.experts.224", "model.language_model.layers.32.mlp.experts.225", "model.language_model.layers.32.mlp.experts.226", "model.language_model.layers.32.mlp.experts.227", "model.language_model.layers.32.mlp.experts.228", "model.language_model.layers.32.mlp.experts.229", "model.language_model.layers.32.mlp.experts.230", "model.language_model.layers.32.mlp.experts.231", "model.language_model.layers.32.mlp.experts.232", "model.language_model.layers.32.mlp.experts.233", "model.language_model.layers.32.mlp.experts.234", "model.language_model.layers.32.mlp.experts.235", "model.language_model.layers.32.mlp.experts.236", "model.language_model.layers.32.mlp.experts.237", "model.language_model.layers.32.mlp.experts.238", "model.language_model.layers.32.mlp.experts.239", "model.language_model.layers.32.mlp.experts.240", "model.language_model.layers.32.mlp.experts.241", "model.language_model.layers.32.mlp.experts.242", "model.language_model.layers.32.mlp.experts.243", "model.language_model.layers.32.mlp.experts.244", "model.language_model.layers.32.mlp.experts.245", "model.language_model.layers.32.mlp.experts.246", "model.language_model.layers.32.mlp.experts.247", "model.language_model.layers.32.mlp.experts.248", "model.language_model.layers.32.mlp.experts.249", "model.language_model.layers.32.mlp.experts.250", "model.language_model.layers.32.mlp.experts.251", "model.language_model.layers.32.mlp.experts.252", "model.language_model.layers.32.mlp.experts.253", "model.language_model.layers.32.mlp.experts.254", "model.language_model.layers.32.mlp.experts.255", "model.language_model.layers.32.mlp.shared_expert_gate", "model.language_model.layers.33.linear_attn", "model.language_model.layers.33.linear_attn.norm", "model.language_model.layers.33.linear_attn.in_proj_b", "model.language_model.layers.33.linear_attn.in_proj_a", "model.language_model.layers.33.mlp.gate", "model.language_model.layers.33.mlp.experts.0", "model.language_model.layers.33.mlp.experts.1", "model.language_model.layers.33.mlp.experts.2", "model.language_model.layers.33.mlp.experts.3", "model.language_model.layers.33.mlp.experts.4", "model.language_model.layers.33.mlp.experts.5", "model.language_model.layers.33.mlp.experts.6", "model.language_model.layers.33.mlp.experts.7", "model.language_model.layers.33.mlp.experts.8", "model.language_model.layers.33.mlp.experts.9", "model.language_model.layers.33.mlp.experts.10", "model.language_model.layers.33.mlp.experts.11", "model.language_model.layers.33.mlp.experts.12", "model.language_model.layers.33.mlp.experts.13", "model.language_model.layers.33.mlp.experts.14", "model.language_model.layers.33.mlp.experts.15", "model.language_model.layers.33.mlp.experts.16", "model.language_model.layers.33.mlp.experts.17", "model.language_model.layers.33.mlp.experts.18", "model.language_model.layers.33.mlp.experts.19", "model.language_model.layers.33.mlp.experts.20", "model.language_model.layers.33.mlp.experts.21", "model.language_model.layers.33.mlp.experts.22", "model.language_model.layers.33.mlp.experts.23", "model.language_model.layers.33.mlp.experts.24", "model.language_model.layers.33.mlp.experts.25", "model.language_model.layers.33.mlp.experts.26", "model.language_model.layers.33.mlp.experts.27", "model.language_model.layers.33.mlp.experts.28", "model.language_model.layers.33.mlp.experts.29", "model.language_model.layers.33.mlp.experts.30", "model.language_model.layers.33.mlp.experts.31", "model.language_model.layers.33.mlp.experts.32", "model.language_model.layers.33.mlp.experts.33", "model.language_model.layers.33.mlp.experts.34", "model.language_model.layers.33.mlp.experts.35", "model.language_model.layers.33.mlp.experts.36", "model.language_model.layers.33.mlp.experts.37", "model.language_model.layers.33.mlp.experts.38", "model.language_model.layers.33.mlp.experts.39", "model.language_model.layers.33.mlp.experts.40", "model.language_model.layers.33.mlp.experts.41", "model.language_model.layers.33.mlp.experts.42", "model.language_model.layers.33.mlp.experts.43", "model.language_model.layers.33.mlp.experts.44", "model.language_model.layers.33.mlp.experts.45", "model.language_model.layers.33.mlp.experts.46", "model.language_model.layers.33.mlp.experts.47", "model.language_model.layers.33.mlp.experts.48", "model.language_model.layers.33.mlp.experts.49", "model.language_model.layers.33.mlp.experts.50", "model.language_model.layers.33.mlp.experts.51", "model.language_model.layers.33.mlp.experts.52", "model.language_model.layers.33.mlp.experts.53", "model.language_model.layers.33.mlp.experts.54", "model.language_model.layers.33.mlp.experts.55", "model.language_model.layers.33.mlp.experts.56", "model.language_model.layers.33.mlp.experts.57", "model.language_model.layers.33.mlp.experts.58", "model.language_model.layers.33.mlp.experts.59", "model.language_model.layers.33.mlp.experts.60", "model.language_model.layers.33.mlp.experts.61", "model.language_model.layers.33.mlp.experts.62", "model.language_model.layers.33.mlp.experts.63", "model.language_model.layers.33.mlp.experts.64", "model.language_model.layers.33.mlp.experts.65", "model.language_model.layers.33.mlp.experts.66", "model.language_model.layers.33.mlp.experts.67", "model.language_model.layers.33.mlp.experts.68", "model.language_model.layers.33.mlp.experts.69", "model.language_model.layers.33.mlp.experts.70", "model.language_model.layers.33.mlp.experts.71", "model.language_model.layers.33.mlp.experts.72", "model.language_model.layers.33.mlp.experts.73", "model.language_model.layers.33.mlp.experts.74", "model.language_model.layers.33.mlp.experts.75", "model.language_model.layers.33.mlp.experts.76", "model.language_model.layers.33.mlp.experts.77", "model.language_model.layers.33.mlp.experts.78", "model.language_model.layers.33.mlp.experts.79", "model.language_model.layers.33.mlp.experts.80", "model.language_model.layers.33.mlp.experts.81", "model.language_model.layers.33.mlp.experts.82", "model.language_model.layers.33.mlp.experts.83", "model.language_model.layers.33.mlp.experts.84", "model.language_model.layers.33.mlp.experts.85", "model.language_model.layers.33.mlp.experts.86", "model.language_model.layers.33.mlp.experts.87", "model.language_model.layers.33.mlp.experts.88", "model.language_model.layers.33.mlp.experts.89", "model.language_model.layers.33.mlp.experts.90", "model.language_model.layers.33.mlp.experts.91", "model.language_model.layers.33.mlp.experts.92", "model.language_model.layers.33.mlp.experts.93", "model.language_model.layers.33.mlp.experts.94", "model.language_model.layers.33.mlp.experts.95", "model.language_model.layers.33.mlp.experts.96", "model.language_model.layers.33.mlp.experts.97", "model.language_model.layers.33.mlp.experts.98", "model.language_model.layers.33.mlp.experts.99", "model.language_model.layers.33.mlp.experts.100", "model.language_model.layers.33.mlp.experts.101", "model.language_model.layers.33.mlp.experts.102", "model.language_model.layers.33.mlp.experts.103", "model.language_model.layers.33.mlp.experts.104", "model.language_model.layers.33.mlp.experts.105", "model.language_model.layers.33.mlp.experts.106", "model.language_model.layers.33.mlp.experts.107", "model.language_model.layers.33.mlp.experts.108", "model.language_model.layers.33.mlp.experts.109", "model.language_model.layers.33.mlp.experts.110", "model.language_model.layers.33.mlp.experts.111", "model.language_model.layers.33.mlp.experts.112", "model.language_model.layers.33.mlp.experts.113", "model.language_model.layers.33.mlp.experts.114", "model.language_model.layers.33.mlp.experts.115", "model.language_model.layers.33.mlp.experts.116", "model.language_model.layers.33.mlp.experts.117", "model.language_model.layers.33.mlp.experts.118", "model.language_model.layers.33.mlp.experts.119", "model.language_model.layers.33.mlp.experts.120", "model.language_model.layers.33.mlp.experts.121", "model.language_model.layers.33.mlp.experts.122", "model.language_model.layers.33.mlp.experts.123", "model.language_model.layers.33.mlp.experts.124", "model.language_model.layers.33.mlp.experts.125", "model.language_model.layers.33.mlp.experts.126", "model.language_model.layers.33.mlp.experts.127", "model.language_model.layers.33.mlp.experts.128", "model.language_model.layers.33.mlp.experts.129", "model.language_model.layers.33.mlp.experts.130", "model.language_model.layers.33.mlp.experts.131", "model.language_model.layers.33.mlp.experts.132", "model.language_model.layers.33.mlp.experts.133", "model.language_model.layers.33.mlp.experts.134", "model.language_model.layers.33.mlp.experts.135", "model.language_model.layers.33.mlp.experts.136", "model.language_model.layers.33.mlp.experts.137", "model.language_model.layers.33.mlp.experts.138", "model.language_model.layers.33.mlp.experts.139", "model.language_model.layers.33.mlp.experts.140", "model.language_model.layers.33.mlp.experts.141", "model.language_model.layers.33.mlp.experts.142", "model.language_model.layers.33.mlp.experts.143", "model.language_model.layers.33.mlp.experts.144", "model.language_model.layers.33.mlp.experts.145", "model.language_model.layers.33.mlp.experts.146", "model.language_model.layers.33.mlp.experts.147", "model.language_model.layers.33.mlp.experts.148", "model.language_model.layers.33.mlp.experts.149", "model.language_model.layers.33.mlp.experts.150", "model.language_model.layers.33.mlp.experts.151", "model.language_model.layers.33.mlp.experts.152", "model.language_model.layers.33.mlp.experts.153", "model.language_model.layers.33.mlp.experts.154", "model.language_model.layers.33.mlp.experts.155", "model.language_model.layers.33.mlp.experts.156", "model.language_model.layers.33.mlp.experts.157", "model.language_model.layers.33.mlp.experts.158", "model.language_model.layers.33.mlp.experts.159", "model.language_model.layers.33.mlp.experts.160", "model.language_model.layers.33.mlp.experts.161", "model.language_model.layers.33.mlp.experts.162", "model.language_model.layers.33.mlp.experts.163", "model.language_model.layers.33.mlp.experts.164", "model.language_model.layers.33.mlp.experts.165", "model.language_model.layers.33.mlp.experts.166", "model.language_model.layers.33.mlp.experts.167", "model.language_model.layers.33.mlp.experts.168", "model.language_model.layers.33.mlp.experts.169", "model.language_model.layers.33.mlp.experts.170", "model.language_model.layers.33.mlp.experts.171", "model.language_model.layers.33.mlp.experts.172", "model.language_model.layers.33.mlp.experts.173", "model.language_model.layers.33.mlp.experts.174", "model.language_model.layers.33.mlp.experts.175", "model.language_model.layers.33.mlp.experts.176", "model.language_model.layers.33.mlp.experts.177", "model.language_model.layers.33.mlp.experts.178", "model.language_model.layers.33.mlp.experts.179", "model.language_model.layers.33.mlp.experts.180", "model.language_model.layers.33.mlp.experts.181", "model.language_model.layers.33.mlp.experts.182", "model.language_model.layers.33.mlp.experts.183", "model.language_model.layers.33.mlp.experts.184", "model.language_model.layers.33.mlp.experts.185", "model.language_model.layers.33.mlp.experts.186", "model.language_model.layers.33.mlp.experts.187", "model.language_model.layers.33.mlp.experts.188", "model.language_model.layers.33.mlp.experts.189", "model.language_model.layers.33.mlp.experts.190", "model.language_model.layers.33.mlp.experts.191", "model.language_model.layers.33.mlp.experts.192", "model.language_model.layers.33.mlp.experts.193", "model.language_model.layers.33.mlp.experts.194", "model.language_model.layers.33.mlp.experts.195", "model.language_model.layers.33.mlp.experts.196", "model.language_model.layers.33.mlp.experts.197", "model.language_model.layers.33.mlp.experts.198", "model.language_model.layers.33.mlp.experts.199", "model.language_model.layers.33.mlp.experts.200", "model.language_model.layers.33.mlp.experts.201", "model.language_model.layers.33.mlp.experts.202", "model.language_model.layers.33.mlp.experts.203", "model.language_model.layers.33.mlp.experts.204", "model.language_model.layers.33.mlp.experts.205", "model.language_model.layers.33.mlp.experts.206", "model.language_model.layers.33.mlp.experts.207", "model.language_model.layers.33.mlp.experts.208", "model.language_model.layers.33.mlp.experts.209", "model.language_model.layers.33.mlp.experts.210", "model.language_model.layers.33.mlp.experts.211", "model.language_model.layers.33.mlp.experts.212", "model.language_model.layers.33.mlp.experts.213", "model.language_model.layers.33.mlp.experts.214", "model.language_model.layers.33.mlp.experts.215", "model.language_model.layers.33.mlp.experts.216", "model.language_model.layers.33.mlp.experts.217", "model.language_model.layers.33.mlp.experts.218", "model.language_model.layers.33.mlp.experts.219", "model.language_model.layers.33.mlp.experts.220", "model.language_model.layers.33.mlp.experts.221", "model.language_model.layers.33.mlp.experts.222", "model.language_model.layers.33.mlp.experts.223", "model.language_model.layers.33.mlp.experts.224", "model.language_model.layers.33.mlp.experts.225", "model.language_model.layers.33.mlp.experts.226", "model.language_model.layers.33.mlp.experts.227", "model.language_model.layers.33.mlp.experts.228", "model.language_model.layers.33.mlp.experts.229", "model.language_model.layers.33.mlp.experts.230", "model.language_model.layers.33.mlp.experts.231", "model.language_model.layers.33.mlp.experts.232", "model.language_model.layers.33.mlp.experts.233", "model.language_model.layers.33.mlp.experts.234", "model.language_model.layers.33.mlp.experts.235", "model.language_model.layers.33.mlp.experts.236", "model.language_model.layers.33.mlp.experts.237", "model.language_model.layers.33.mlp.experts.238", "model.language_model.layers.33.mlp.experts.239", "model.language_model.layers.33.mlp.experts.240", "model.language_model.layers.33.mlp.experts.241", "model.language_model.layers.33.mlp.experts.242", "model.language_model.layers.33.mlp.experts.243", "model.language_model.layers.33.mlp.experts.244", "model.language_model.layers.33.mlp.experts.245", "model.language_model.layers.33.mlp.experts.246", "model.language_model.layers.33.mlp.experts.247", "model.language_model.layers.33.mlp.experts.248", "model.language_model.layers.33.mlp.experts.249", "model.language_model.layers.33.mlp.experts.250", "model.language_model.layers.33.mlp.experts.251", "model.language_model.layers.33.mlp.experts.252", "model.language_model.layers.33.mlp.experts.253", "model.language_model.layers.33.mlp.experts.254", "model.language_model.layers.33.mlp.experts.255", "model.language_model.layers.33.mlp.shared_expert_gate", "model.language_model.layers.34.linear_attn", "model.language_model.layers.34.linear_attn.norm", "model.language_model.layers.34.linear_attn.in_proj_b", "model.language_model.layers.34.linear_attn.in_proj_a", "model.language_model.layers.34.mlp.gate", "model.language_model.layers.34.mlp.experts.0", "model.language_model.layers.34.mlp.experts.1", "model.language_model.layers.34.mlp.experts.2", "model.language_model.layers.34.mlp.experts.3", "model.language_model.layers.34.mlp.experts.4", "model.language_model.layers.34.mlp.experts.5", "model.language_model.layers.34.mlp.experts.6", "model.language_model.layers.34.mlp.experts.7", "model.language_model.layers.34.mlp.experts.8", "model.language_model.layers.34.mlp.experts.9", "model.language_model.layers.34.mlp.experts.10", "model.language_model.layers.34.mlp.experts.11", "model.language_model.layers.34.mlp.experts.12", "model.language_model.layers.34.mlp.experts.13", "model.language_model.layers.34.mlp.experts.14", "model.language_model.layers.34.mlp.experts.15", "model.language_model.layers.34.mlp.experts.16", "model.language_model.layers.34.mlp.experts.17", "model.language_model.layers.34.mlp.experts.18", "model.language_model.layers.34.mlp.experts.19", "model.language_model.layers.34.mlp.experts.20", "model.language_model.layers.34.mlp.experts.21", "model.language_model.layers.34.mlp.experts.22", "model.language_model.layers.34.mlp.experts.23", "model.language_model.layers.34.mlp.experts.24", "model.language_model.layers.34.mlp.experts.25", "model.language_model.layers.34.mlp.experts.26", "model.language_model.layers.34.mlp.experts.27", "model.language_model.layers.34.mlp.experts.28", "model.language_model.layers.34.mlp.experts.29", "model.language_model.layers.34.mlp.experts.30", "model.language_model.layers.34.mlp.experts.31", "model.language_model.layers.34.mlp.experts.32", "model.language_model.layers.34.mlp.experts.33", "model.language_model.layers.34.mlp.experts.34", "model.language_model.layers.34.mlp.experts.35", "model.language_model.layers.34.mlp.experts.36", "model.language_model.layers.34.mlp.experts.37", "model.language_model.layers.34.mlp.experts.38", "model.language_model.layers.34.mlp.experts.39", "model.language_model.layers.34.mlp.experts.40", "model.language_model.layers.34.mlp.experts.41", "model.language_model.layers.34.mlp.experts.42", "model.language_model.layers.34.mlp.experts.43", "model.language_model.layers.34.mlp.experts.44", "model.language_model.layers.34.mlp.experts.45", "model.language_model.layers.34.mlp.experts.46", "model.language_model.layers.34.mlp.experts.47", "model.language_model.layers.34.mlp.experts.48", "model.language_model.layers.34.mlp.experts.49", "model.language_model.layers.34.mlp.experts.50", "model.language_model.layers.34.mlp.experts.51", "model.language_model.layers.34.mlp.experts.52", "model.language_model.layers.34.mlp.experts.53", "model.language_model.layers.34.mlp.experts.54", "model.language_model.layers.34.mlp.experts.55", "model.language_model.layers.34.mlp.experts.56", "model.language_model.layers.34.mlp.experts.57", "model.language_model.layers.34.mlp.experts.58", "model.language_model.layers.34.mlp.experts.59", "model.language_model.layers.34.mlp.experts.60", "model.language_model.layers.34.mlp.experts.61", "model.language_model.layers.34.mlp.experts.62", "model.language_model.layers.34.mlp.experts.63", "model.language_model.layers.34.mlp.experts.64", "model.language_model.layers.34.mlp.experts.65", "model.language_model.layers.34.mlp.experts.66", "model.language_model.layers.34.mlp.experts.67", "model.language_model.layers.34.mlp.experts.68", "model.language_model.layers.34.mlp.experts.69", "model.language_model.layers.34.mlp.experts.70", "model.language_model.layers.34.mlp.experts.71", "model.language_model.layers.34.mlp.experts.72", "model.language_model.layers.34.mlp.experts.73", "model.language_model.layers.34.mlp.experts.74", "model.language_model.layers.34.mlp.experts.75", "model.language_model.layers.34.mlp.experts.76", "model.language_model.layers.34.mlp.experts.77", "model.language_model.layers.34.mlp.experts.78", "model.language_model.layers.34.mlp.experts.79", "model.language_model.layers.34.mlp.experts.80", "model.language_model.layers.34.mlp.experts.81", "model.language_model.layers.34.mlp.experts.82", "model.language_model.layers.34.mlp.experts.83", "model.language_model.layers.34.mlp.experts.84", "model.language_model.layers.34.mlp.experts.85", "model.language_model.layers.34.mlp.experts.86", "model.language_model.layers.34.mlp.experts.87", "model.language_model.layers.34.mlp.experts.88", "model.language_model.layers.34.mlp.experts.89", "model.language_model.layers.34.mlp.experts.90", "model.language_model.layers.34.mlp.experts.91", "model.language_model.layers.34.mlp.experts.92", "model.language_model.layers.34.mlp.experts.93", "model.language_model.layers.34.mlp.experts.94", "model.language_model.layers.34.mlp.experts.95", "model.language_model.layers.34.mlp.experts.96", "model.language_model.layers.34.mlp.experts.97", "model.language_model.layers.34.mlp.experts.98", "model.language_model.layers.34.mlp.experts.99", "model.language_model.layers.34.mlp.experts.100", "model.language_model.layers.34.mlp.experts.101", "model.language_model.layers.34.mlp.experts.102", "model.language_model.layers.34.mlp.experts.103", "model.language_model.layers.34.mlp.experts.104", "model.language_model.layers.34.mlp.experts.105", "model.language_model.layers.34.mlp.experts.106", "model.language_model.layers.34.mlp.experts.107", "model.language_model.layers.34.mlp.experts.108", "model.language_model.layers.34.mlp.experts.109", "model.language_model.layers.34.mlp.experts.110", "model.language_model.layers.34.mlp.experts.111", "model.language_model.layers.34.mlp.experts.112", "model.language_model.layers.34.mlp.experts.113", "model.language_model.layers.34.mlp.experts.114", "model.language_model.layers.34.mlp.experts.115", "model.language_model.layers.34.mlp.experts.116", "model.language_model.layers.34.mlp.experts.117", "model.language_model.layers.34.mlp.experts.118", "model.language_model.layers.34.mlp.experts.119", "model.language_model.layers.34.mlp.experts.120", "model.language_model.layers.34.mlp.experts.121", "model.language_model.layers.34.mlp.experts.122", "model.language_model.layers.34.mlp.experts.123", "model.language_model.layers.34.mlp.experts.124", "model.language_model.layers.34.mlp.experts.125", "model.language_model.layers.34.mlp.experts.126", "model.language_model.layers.34.mlp.experts.127", "model.language_model.layers.34.mlp.experts.128", "model.language_model.layers.34.mlp.experts.129", "model.language_model.layers.34.mlp.experts.130", "model.language_model.layers.34.mlp.experts.131", "model.language_model.layers.34.mlp.experts.132", "model.language_model.layers.34.mlp.experts.133", "model.language_model.layers.34.mlp.experts.134", "model.language_model.layers.34.mlp.experts.135", "model.language_model.layers.34.mlp.experts.136", "model.language_model.layers.34.mlp.experts.137", "model.language_model.layers.34.mlp.experts.138", "model.language_model.layers.34.mlp.experts.139", "model.language_model.layers.34.mlp.experts.140", "model.language_model.layers.34.mlp.experts.141", "model.language_model.layers.34.mlp.experts.142", "model.language_model.layers.34.mlp.experts.143", "model.language_model.layers.34.mlp.experts.144", "model.language_model.layers.34.mlp.experts.145", "model.language_model.layers.34.mlp.experts.146", "model.language_model.layers.34.mlp.experts.147", "model.language_model.layers.34.mlp.experts.148", "model.language_model.layers.34.mlp.experts.149", "model.language_model.layers.34.mlp.experts.150", "model.language_model.layers.34.mlp.experts.151", "model.language_model.layers.34.mlp.experts.152", "model.language_model.layers.34.mlp.experts.153", "model.language_model.layers.34.mlp.experts.154", "model.language_model.layers.34.mlp.experts.155", "model.language_model.layers.34.mlp.experts.156", "model.language_model.layers.34.mlp.experts.157", "model.language_model.layers.34.mlp.experts.158", "model.language_model.layers.34.mlp.experts.159", "model.language_model.layers.34.mlp.experts.160", "model.language_model.layers.34.mlp.experts.161", "model.language_model.layers.34.mlp.experts.162", "model.language_model.layers.34.mlp.experts.163", "model.language_model.layers.34.mlp.experts.164", "model.language_model.layers.34.mlp.experts.165", "model.language_model.layers.34.mlp.experts.166", "model.language_model.layers.34.mlp.experts.167", "model.language_model.layers.34.mlp.experts.168", "model.language_model.layers.34.mlp.experts.169", "model.language_model.layers.34.mlp.experts.170", "model.language_model.layers.34.mlp.experts.171", "model.language_model.layers.34.mlp.experts.172", "model.language_model.layers.34.mlp.experts.173", "model.language_model.layers.34.mlp.experts.174", "model.language_model.layers.34.mlp.experts.175", "model.language_model.layers.34.mlp.experts.176", "model.language_model.layers.34.mlp.experts.177", "model.language_model.layers.34.mlp.experts.178", "model.language_model.layers.34.mlp.experts.179", "model.language_model.layers.34.mlp.experts.180", "model.language_model.layers.34.mlp.experts.181", "model.language_model.layers.34.mlp.experts.182", "model.language_model.layers.34.mlp.experts.183", "model.language_model.layers.34.mlp.experts.184", "model.language_model.layers.34.mlp.experts.185", "model.language_model.layers.34.mlp.experts.186", "model.language_model.layers.34.mlp.experts.187", "model.language_model.layers.34.mlp.experts.188", "model.language_model.layers.34.mlp.experts.189", "model.language_model.layers.34.mlp.experts.190", "model.language_model.layers.34.mlp.experts.191", "model.language_model.layers.34.mlp.experts.192", "model.language_model.layers.34.mlp.experts.193", "model.language_model.layers.34.mlp.experts.194", "model.language_model.layers.34.mlp.experts.195", "model.language_model.layers.34.mlp.experts.196", "model.language_model.layers.34.mlp.experts.197", "model.language_model.layers.34.mlp.experts.198", "model.language_model.layers.34.mlp.experts.199", "model.language_model.layers.34.mlp.experts.200", "model.language_model.layers.34.mlp.experts.201", "model.language_model.layers.34.mlp.experts.202", "model.language_model.layers.34.mlp.experts.203", "model.language_model.layers.34.mlp.experts.204", "model.language_model.layers.34.mlp.experts.205", "model.language_model.layers.34.mlp.experts.206", "model.language_model.layers.34.mlp.experts.207", "model.language_model.layers.34.mlp.experts.208", "model.language_model.layers.34.mlp.experts.209", "model.language_model.layers.34.mlp.experts.210", "model.language_model.layers.34.mlp.experts.211", "model.language_model.layers.34.mlp.experts.212", "model.language_model.layers.34.mlp.experts.213", "model.language_model.layers.34.mlp.experts.214", "model.language_model.layers.34.mlp.experts.215", "model.language_model.layers.34.mlp.experts.216", "model.language_model.layers.34.mlp.experts.217", "model.language_model.layers.34.mlp.experts.218", "model.language_model.layers.34.mlp.experts.219", "model.language_model.layers.34.mlp.experts.220", "model.language_model.layers.34.mlp.experts.221", "model.language_model.layers.34.mlp.experts.222", "model.language_model.layers.34.mlp.experts.223", "model.language_model.layers.34.mlp.experts.224", "model.language_model.layers.34.mlp.experts.225", "model.language_model.layers.34.mlp.experts.226", "model.language_model.layers.34.mlp.experts.227", "model.language_model.layers.34.mlp.experts.228", "model.language_model.layers.34.mlp.experts.229", "model.language_model.layers.34.mlp.experts.230", "model.language_model.layers.34.mlp.experts.231", "model.language_model.layers.34.mlp.experts.232", "model.language_model.layers.34.mlp.experts.233", "model.language_model.layers.34.mlp.experts.234", "model.language_model.layers.34.mlp.experts.235", "model.language_model.layers.34.mlp.experts.236", "model.language_model.layers.34.mlp.experts.237", "model.language_model.layers.34.mlp.experts.238", "model.language_model.layers.34.mlp.experts.239", "model.language_model.layers.34.mlp.experts.240", "model.language_model.layers.34.mlp.experts.241", "model.language_model.layers.34.mlp.experts.242", "model.language_model.layers.34.mlp.experts.243", "model.language_model.layers.34.mlp.experts.244", "model.language_model.layers.34.mlp.experts.245", "model.language_model.layers.34.mlp.experts.246", "model.language_model.layers.34.mlp.experts.247", "model.language_model.layers.34.mlp.experts.248", "model.language_model.layers.34.mlp.experts.249", "model.language_model.layers.34.mlp.experts.250", "model.language_model.layers.34.mlp.experts.251", "model.language_model.layers.34.mlp.experts.252", "model.language_model.layers.34.mlp.experts.253", "model.language_model.layers.34.mlp.experts.254", "model.language_model.layers.34.mlp.experts.255", "model.language_model.layers.34.mlp.shared_expert_gate", "model.language_model.layers.35.mlp.gate", "model.language_model.layers.35.mlp.experts.0", "model.language_model.layers.35.mlp.experts.1", "model.language_model.layers.35.mlp.experts.2", "model.language_model.layers.35.mlp.experts.3", "model.language_model.layers.35.mlp.experts.4", "model.language_model.layers.35.mlp.experts.5", "model.language_model.layers.35.mlp.experts.6", "model.language_model.layers.35.mlp.experts.7", "model.language_model.layers.35.mlp.experts.8", "model.language_model.layers.35.mlp.experts.9", "model.language_model.layers.35.mlp.experts.10", "model.language_model.layers.35.mlp.experts.11", "model.language_model.layers.35.mlp.experts.12", "model.language_model.layers.35.mlp.experts.13", "model.language_model.layers.35.mlp.experts.14", "model.language_model.layers.35.mlp.experts.15", "model.language_model.layers.35.mlp.experts.16", "model.language_model.layers.35.mlp.experts.17", "model.language_model.layers.35.mlp.experts.18", "model.language_model.layers.35.mlp.experts.19", "model.language_model.layers.35.mlp.experts.20", "model.language_model.layers.35.mlp.experts.21", "model.language_model.layers.35.mlp.experts.22", "model.language_model.layers.35.mlp.experts.23", "model.language_model.layers.35.mlp.experts.24", "model.language_model.layers.35.mlp.experts.25", "model.language_model.layers.35.mlp.experts.26", "model.language_model.layers.35.mlp.experts.27", "model.language_model.layers.35.mlp.experts.28", "model.language_model.layers.35.mlp.experts.29", "model.language_model.layers.35.mlp.experts.30", "model.language_model.layers.35.mlp.experts.31", "model.language_model.layers.35.mlp.experts.32", "model.language_model.layers.35.mlp.experts.33", "model.language_model.layers.35.mlp.experts.34", "model.language_model.layers.35.mlp.experts.35", "model.language_model.layers.35.mlp.experts.36", "model.language_model.layers.35.mlp.experts.37", "model.language_model.layers.35.mlp.experts.38", "model.language_model.layers.35.mlp.experts.39", "model.language_model.layers.35.mlp.experts.40", "model.language_model.layers.35.mlp.experts.41", "model.language_model.layers.35.mlp.experts.42", "model.language_model.layers.35.mlp.experts.43", "model.language_model.layers.35.mlp.experts.44", "model.language_model.layers.35.mlp.experts.45", "model.language_model.layers.35.mlp.experts.46", "model.language_model.layers.35.mlp.experts.47", "model.language_model.layers.35.mlp.experts.48", "model.language_model.layers.35.mlp.experts.49", "model.language_model.layers.35.mlp.experts.50", "model.language_model.layers.35.mlp.experts.51", "model.language_model.layers.35.mlp.experts.52", "model.language_model.layers.35.mlp.experts.53", "model.language_model.layers.35.mlp.experts.54", "model.language_model.layers.35.mlp.experts.55", "model.language_model.layers.35.mlp.experts.56", "model.language_model.layers.35.mlp.experts.57", "model.language_model.layers.35.mlp.experts.58", "model.language_model.layers.35.mlp.experts.59", "model.language_model.layers.35.mlp.experts.60", "model.language_model.layers.35.mlp.experts.61", "model.language_model.layers.35.mlp.experts.62", "model.language_model.layers.35.mlp.experts.63", "model.language_model.layers.35.mlp.experts.64", "model.language_model.layers.35.mlp.experts.65", "model.language_model.layers.35.mlp.experts.66", "model.language_model.layers.35.mlp.experts.67", "model.language_model.layers.35.mlp.experts.68", "model.language_model.layers.35.mlp.experts.69", "model.language_model.layers.35.mlp.experts.70", "model.language_model.layers.35.mlp.experts.71", "model.language_model.layers.35.mlp.experts.72", "model.language_model.layers.35.mlp.experts.73", "model.language_model.layers.35.mlp.experts.74", "model.language_model.layers.35.mlp.experts.75", "model.language_model.layers.35.mlp.experts.76", "model.language_model.layers.35.mlp.experts.77", "model.language_model.layers.35.mlp.experts.78", "model.language_model.layers.35.mlp.experts.79", "model.language_model.layers.35.mlp.experts.80", "model.language_model.layers.35.mlp.experts.81", "model.language_model.layers.35.mlp.experts.82", "model.language_model.layers.35.mlp.experts.83", "model.language_model.layers.35.mlp.experts.84", "model.language_model.layers.35.mlp.experts.85", "model.language_model.layers.35.mlp.experts.86", "model.language_model.layers.35.mlp.experts.87", "model.language_model.layers.35.mlp.experts.88", "model.language_model.layers.35.mlp.experts.89", "model.language_model.layers.35.mlp.experts.90", "model.language_model.layers.35.mlp.experts.91", "model.language_model.layers.35.mlp.experts.92", "model.language_model.layers.35.mlp.experts.93", "model.language_model.layers.35.mlp.experts.94", "model.language_model.layers.35.mlp.experts.95", "model.language_model.layers.35.mlp.experts.96", "model.language_model.layers.35.mlp.experts.97", "model.language_model.layers.35.mlp.experts.98", "model.language_model.layers.35.mlp.experts.99", "model.language_model.layers.35.mlp.experts.100", "model.language_model.layers.35.mlp.experts.101", "model.language_model.layers.35.mlp.experts.102", "model.language_model.layers.35.mlp.experts.103", "model.language_model.layers.35.mlp.experts.104", "model.language_model.layers.35.mlp.experts.105", "model.language_model.layers.35.mlp.experts.106", "model.language_model.layers.35.mlp.experts.107", "model.language_model.layers.35.mlp.experts.108", "model.language_model.layers.35.mlp.experts.109", "model.language_model.layers.35.mlp.experts.110", "model.language_model.layers.35.mlp.experts.111", "model.language_model.layers.35.mlp.experts.112", "model.language_model.layers.35.mlp.experts.113", "model.language_model.layers.35.mlp.experts.114", "model.language_model.layers.35.mlp.experts.115", "model.language_model.layers.35.mlp.experts.116", "model.language_model.layers.35.mlp.experts.117", "model.language_model.layers.35.mlp.experts.118", "model.language_model.layers.35.mlp.experts.119", "model.language_model.layers.35.mlp.experts.120", "model.language_model.layers.35.mlp.experts.121", "model.language_model.layers.35.mlp.experts.122", "model.language_model.layers.35.mlp.experts.123", "model.language_model.layers.35.mlp.experts.124", "model.language_model.layers.35.mlp.experts.125", "model.language_model.layers.35.mlp.experts.126", "model.language_model.layers.35.mlp.experts.127", "model.language_model.layers.35.mlp.experts.128", "model.language_model.layers.35.mlp.experts.129", "model.language_model.layers.35.mlp.experts.130", "model.language_model.layers.35.mlp.experts.131", "model.language_model.layers.35.mlp.experts.132", "model.language_model.layers.35.mlp.experts.133", "model.language_model.layers.35.mlp.experts.134", "model.language_model.layers.35.mlp.experts.135", "model.language_model.layers.35.mlp.experts.136", "model.language_model.layers.35.mlp.experts.137", "model.language_model.layers.35.mlp.experts.138", "model.language_model.layers.35.mlp.experts.139", "model.language_model.layers.35.mlp.experts.140", "model.language_model.layers.35.mlp.experts.141", "model.language_model.layers.35.mlp.experts.142", "model.language_model.layers.35.mlp.experts.143", "model.language_model.layers.35.mlp.experts.144", "model.language_model.layers.35.mlp.experts.145", "model.language_model.layers.35.mlp.experts.146", "model.language_model.layers.35.mlp.experts.147", "model.language_model.layers.35.mlp.experts.148", "model.language_model.layers.35.mlp.experts.149", "model.language_model.layers.35.mlp.experts.150", "model.language_model.layers.35.mlp.experts.151", "model.language_model.layers.35.mlp.experts.152", "model.language_model.layers.35.mlp.experts.153", "model.language_model.layers.35.mlp.experts.154", "model.language_model.layers.35.mlp.experts.155", "model.language_model.layers.35.mlp.experts.156", "model.language_model.layers.35.mlp.experts.157", "model.language_model.layers.35.mlp.experts.158", "model.language_model.layers.35.mlp.experts.159", "model.language_model.layers.35.mlp.experts.160", "model.language_model.layers.35.mlp.experts.161", "model.language_model.layers.35.mlp.experts.162", "model.language_model.layers.35.mlp.experts.163", "model.language_model.layers.35.mlp.experts.164", "model.language_model.layers.35.mlp.experts.165", "model.language_model.layers.35.mlp.experts.166", "model.language_model.layers.35.mlp.experts.167", "model.language_model.layers.35.mlp.experts.168", "model.language_model.layers.35.mlp.experts.169", "model.language_model.layers.35.mlp.experts.170", "model.language_model.layers.35.mlp.experts.171", "model.language_model.layers.35.mlp.experts.172", "model.language_model.layers.35.mlp.experts.173", "model.language_model.layers.35.mlp.experts.174", "model.language_model.layers.35.mlp.experts.175", "model.language_model.layers.35.mlp.experts.176", "model.language_model.layers.35.mlp.experts.177", "model.language_model.layers.35.mlp.experts.178", "model.language_model.layers.35.mlp.experts.179", "model.language_model.layers.35.mlp.experts.180", "model.language_model.layers.35.mlp.experts.181", "model.language_model.layers.35.mlp.experts.182", "model.language_model.layers.35.mlp.experts.183", "model.language_model.layers.35.mlp.experts.184", "model.language_model.layers.35.mlp.experts.185", "model.language_model.layers.35.mlp.experts.186", "model.language_model.layers.35.mlp.experts.187", "model.language_model.layers.35.mlp.experts.188", "model.language_model.layers.35.mlp.experts.189", "model.language_model.layers.35.mlp.experts.190", "model.language_model.layers.35.mlp.experts.191", "model.language_model.layers.35.mlp.experts.192", "model.language_model.layers.35.mlp.experts.193", "model.language_model.layers.35.mlp.experts.194", "model.language_model.layers.35.mlp.experts.195", "model.language_model.layers.35.mlp.experts.196", "model.language_model.layers.35.mlp.experts.197", "model.language_model.layers.35.mlp.experts.198", "model.language_model.layers.35.mlp.experts.199", "model.language_model.layers.35.mlp.experts.200", "model.language_model.layers.35.mlp.experts.201", "model.language_model.layers.35.mlp.experts.202", "model.language_model.layers.35.mlp.experts.203", "model.language_model.layers.35.mlp.experts.204", "model.language_model.layers.35.mlp.experts.205", "model.language_model.layers.35.mlp.experts.206", "model.language_model.layers.35.mlp.experts.207", "model.language_model.layers.35.mlp.experts.208", "model.language_model.layers.35.mlp.experts.209", "model.language_model.layers.35.mlp.experts.210", "model.language_model.layers.35.mlp.experts.211", "model.language_model.layers.35.mlp.experts.212", "model.language_model.layers.35.mlp.experts.213", "model.language_model.layers.35.mlp.experts.214", "model.language_model.layers.35.mlp.experts.215", "model.language_model.layers.35.mlp.experts.216", "model.language_model.layers.35.mlp.experts.217", "model.language_model.layers.35.mlp.experts.218", "model.language_model.layers.35.mlp.experts.219", "model.language_model.layers.35.mlp.experts.220", "model.language_model.layers.35.mlp.experts.221", "model.language_model.layers.35.mlp.experts.222", "model.language_model.layers.35.mlp.experts.223", "model.language_model.layers.35.mlp.experts.224", "model.language_model.layers.35.mlp.experts.225", "model.language_model.layers.35.mlp.experts.226", "model.language_model.layers.35.mlp.experts.227", "model.language_model.layers.35.mlp.experts.228", "model.language_model.layers.35.mlp.experts.229", "model.language_model.layers.35.mlp.experts.230", "model.language_model.layers.35.mlp.experts.231", "model.language_model.layers.35.mlp.experts.232", "model.language_model.layers.35.mlp.experts.233", "model.language_model.layers.35.mlp.experts.234", "model.language_model.layers.35.mlp.experts.235", "model.language_model.layers.35.mlp.experts.236", "model.language_model.layers.35.mlp.experts.237", "model.language_model.layers.35.mlp.experts.238", "model.language_model.layers.35.mlp.experts.239", "model.language_model.layers.35.mlp.experts.240", "model.language_model.layers.35.mlp.experts.241", "model.language_model.layers.35.mlp.experts.242", "model.language_model.layers.35.mlp.experts.243", "model.language_model.layers.35.mlp.experts.244", "model.language_model.layers.35.mlp.experts.245", "model.language_model.layers.35.mlp.experts.246", "model.language_model.layers.35.mlp.experts.247", "model.language_model.layers.35.mlp.experts.248", "model.language_model.layers.35.mlp.experts.249", "model.language_model.layers.35.mlp.experts.250", "model.language_model.layers.35.mlp.experts.251", "model.language_model.layers.35.mlp.experts.252", "model.language_model.layers.35.mlp.experts.253", "model.language_model.layers.35.mlp.experts.254", "model.language_model.layers.35.mlp.experts.255", "model.language_model.layers.35.mlp.shared_expert_gate", "model.language_model.layers.36.linear_attn", "model.language_model.layers.36.linear_attn.norm", "model.language_model.layers.36.linear_attn.in_proj_b", "model.language_model.layers.36.linear_attn.in_proj_a", "model.language_model.layers.36.mlp.gate", "model.language_model.layers.36.mlp.experts.0", "model.language_model.layers.36.mlp.experts.1", "model.language_model.layers.36.mlp.experts.2", "model.language_model.layers.36.mlp.experts.3", "model.language_model.layers.36.mlp.experts.4", "model.language_model.layers.36.mlp.experts.5", "model.language_model.layers.36.mlp.experts.6", "model.language_model.layers.36.mlp.experts.7", "model.language_model.layers.36.mlp.experts.8", "model.language_model.layers.36.mlp.experts.9", "model.language_model.layers.36.mlp.experts.10", "model.language_model.layers.36.mlp.experts.11", "model.language_model.layers.36.mlp.experts.12", "model.language_model.layers.36.mlp.experts.13", "model.language_model.layers.36.mlp.experts.14", "model.language_model.layers.36.mlp.experts.15", "model.language_model.layers.36.mlp.experts.16", "model.language_model.layers.36.mlp.experts.17", "model.language_model.layers.36.mlp.experts.18", "model.language_model.layers.36.mlp.experts.19", "model.language_model.layers.36.mlp.experts.20", "model.language_model.layers.36.mlp.experts.21", "model.language_model.layers.36.mlp.experts.22", "model.language_model.layers.36.mlp.experts.23", "model.language_model.layers.36.mlp.experts.24", "model.language_model.layers.36.mlp.experts.25", "model.language_model.layers.36.mlp.experts.26", "model.language_model.layers.36.mlp.experts.27", "model.language_model.layers.36.mlp.experts.28", "model.language_model.layers.36.mlp.experts.29", "model.language_model.layers.36.mlp.experts.30", "model.language_model.layers.36.mlp.experts.31", "model.language_model.layers.36.mlp.experts.32", "model.language_model.layers.36.mlp.experts.33", "model.language_model.layers.36.mlp.experts.34", "model.language_model.layers.36.mlp.experts.35", "model.language_model.layers.36.mlp.experts.36", "model.language_model.layers.36.mlp.experts.37", "model.language_model.layers.36.mlp.experts.38", "model.language_model.layers.36.mlp.experts.39", "model.language_model.layers.36.mlp.experts.40", "model.language_model.layers.36.mlp.experts.41", "model.language_model.layers.36.mlp.experts.42", "model.language_model.layers.36.mlp.experts.43", "model.language_model.layers.36.mlp.experts.44", "model.language_model.layers.36.mlp.experts.45", "model.language_model.layers.36.mlp.experts.46", "model.language_model.layers.36.mlp.experts.47", "model.language_model.layers.36.mlp.experts.48", "model.language_model.layers.36.mlp.experts.49", "model.language_model.layers.36.mlp.experts.50", "model.language_model.layers.36.mlp.experts.51", "model.language_model.layers.36.mlp.experts.52", "model.language_model.layers.36.mlp.experts.53", "model.language_model.layers.36.mlp.experts.54", "model.language_model.layers.36.mlp.experts.55", "model.language_model.layers.36.mlp.experts.56", "model.language_model.layers.36.mlp.experts.57", "model.language_model.layers.36.mlp.experts.58", "model.language_model.layers.36.mlp.experts.59", "model.language_model.layers.36.mlp.experts.60", "model.language_model.layers.36.mlp.experts.61", "model.language_model.layers.36.mlp.experts.62", "model.language_model.layers.36.mlp.experts.63", "model.language_model.layers.36.mlp.experts.64", "model.language_model.layers.36.mlp.experts.65", "model.language_model.layers.36.mlp.experts.66", "model.language_model.layers.36.mlp.experts.67", "model.language_model.layers.36.mlp.experts.68", "model.language_model.layers.36.mlp.experts.69", "model.language_model.layers.36.mlp.experts.70", "model.language_model.layers.36.mlp.experts.71", "model.language_model.layers.36.mlp.experts.72", "model.language_model.layers.36.mlp.experts.73", "model.language_model.layers.36.mlp.experts.74", "model.language_model.layers.36.mlp.experts.75", "model.language_model.layers.36.mlp.experts.76", "model.language_model.layers.36.mlp.experts.77", "model.language_model.layers.36.mlp.experts.78", "model.language_model.layers.36.mlp.experts.79", "model.language_model.layers.36.mlp.experts.80", "model.language_model.layers.36.mlp.experts.81", "model.language_model.layers.36.mlp.experts.82", "model.language_model.layers.36.mlp.experts.83", "model.language_model.layers.36.mlp.experts.84", "model.language_model.layers.36.mlp.experts.85", "model.language_model.layers.36.mlp.experts.86", "model.language_model.layers.36.mlp.experts.87", "model.language_model.layers.36.mlp.experts.88", "model.language_model.layers.36.mlp.experts.89", "model.language_model.layers.36.mlp.experts.90", "model.language_model.layers.36.mlp.experts.91", "model.language_model.layers.36.mlp.experts.92", "model.language_model.layers.36.mlp.experts.93", "model.language_model.layers.36.mlp.experts.94", "model.language_model.layers.36.mlp.experts.95", "model.language_model.layers.36.mlp.experts.96", "model.language_model.layers.36.mlp.experts.97", "model.language_model.layers.36.mlp.experts.98", "model.language_model.layers.36.mlp.experts.99", "model.language_model.layers.36.mlp.experts.100", "model.language_model.layers.36.mlp.experts.101", "model.language_model.layers.36.mlp.experts.102", "model.language_model.layers.36.mlp.experts.103", "model.language_model.layers.36.mlp.experts.104", "model.language_model.layers.36.mlp.experts.105", "model.language_model.layers.36.mlp.experts.106", "model.language_model.layers.36.mlp.experts.107", "model.language_model.layers.36.mlp.experts.108", "model.language_model.layers.36.mlp.experts.109", "model.language_model.layers.36.mlp.experts.110", "model.language_model.layers.36.mlp.experts.111", "model.language_model.layers.36.mlp.experts.112", "model.language_model.layers.36.mlp.experts.113", "model.language_model.layers.36.mlp.experts.114", "model.language_model.layers.36.mlp.experts.115", "model.language_model.layers.36.mlp.experts.116", "model.language_model.layers.36.mlp.experts.117", "model.language_model.layers.36.mlp.experts.118", "model.language_model.layers.36.mlp.experts.119", "model.language_model.layers.36.mlp.experts.120", "model.language_model.layers.36.mlp.experts.121", "model.language_model.layers.36.mlp.experts.122", "model.language_model.layers.36.mlp.experts.123", "model.language_model.layers.36.mlp.experts.124", "model.language_model.layers.36.mlp.experts.125", "model.language_model.layers.36.mlp.experts.126", "model.language_model.layers.36.mlp.experts.127", "model.language_model.layers.36.mlp.experts.128", "model.language_model.layers.36.mlp.experts.129", "model.language_model.layers.36.mlp.experts.130", "model.language_model.layers.36.mlp.experts.131", "model.language_model.layers.36.mlp.experts.132", "model.language_model.layers.36.mlp.experts.133", "model.language_model.layers.36.mlp.experts.134", "model.language_model.layers.36.mlp.experts.135", "model.language_model.layers.36.mlp.experts.136", "model.language_model.layers.36.mlp.experts.137", "model.language_model.layers.36.mlp.experts.138", "model.language_model.layers.36.mlp.experts.139", "model.language_model.layers.36.mlp.experts.140", "model.language_model.layers.36.mlp.experts.141", "model.language_model.layers.36.mlp.experts.142", "model.language_model.layers.36.mlp.experts.143", "model.language_model.layers.36.mlp.experts.144", "model.language_model.layers.36.mlp.experts.145", "model.language_model.layers.36.mlp.experts.146", "model.language_model.layers.36.mlp.experts.147", "model.language_model.layers.36.mlp.experts.148", "model.language_model.layers.36.mlp.experts.149", "model.language_model.layers.36.mlp.experts.150", "model.language_model.layers.36.mlp.experts.151", "model.language_model.layers.36.mlp.experts.152", "model.language_model.layers.36.mlp.experts.153", "model.language_model.layers.36.mlp.experts.154", "model.language_model.layers.36.mlp.experts.155", "model.language_model.layers.36.mlp.experts.156", "model.language_model.layers.36.mlp.experts.157", "model.language_model.layers.36.mlp.experts.158", "model.language_model.layers.36.mlp.experts.159", "model.language_model.layers.36.mlp.experts.160", "model.language_model.layers.36.mlp.experts.161", "model.language_model.layers.36.mlp.experts.162", "model.language_model.layers.36.mlp.experts.163", "model.language_model.layers.36.mlp.experts.164", "model.language_model.layers.36.mlp.experts.165", "model.language_model.layers.36.mlp.experts.166", "model.language_model.layers.36.mlp.experts.167", "model.language_model.layers.36.mlp.experts.168", "model.language_model.layers.36.mlp.experts.169", "model.language_model.layers.36.mlp.experts.170", "model.language_model.layers.36.mlp.experts.171", "model.language_model.layers.36.mlp.experts.172", "model.language_model.layers.36.mlp.experts.173", "model.language_model.layers.36.mlp.experts.174", "model.language_model.layers.36.mlp.experts.175", "model.language_model.layers.36.mlp.experts.176", "model.language_model.layers.36.mlp.experts.177", "model.language_model.layers.36.mlp.experts.178", "model.language_model.layers.36.mlp.experts.179", "model.language_model.layers.36.mlp.experts.180", "model.language_model.layers.36.mlp.experts.181", "model.language_model.layers.36.mlp.experts.182", "model.language_model.layers.36.mlp.experts.183", "model.language_model.layers.36.mlp.experts.184", "model.language_model.layers.36.mlp.experts.185", "model.language_model.layers.36.mlp.experts.186", "model.language_model.layers.36.mlp.experts.187", "model.language_model.layers.36.mlp.experts.188", "model.language_model.layers.36.mlp.experts.189", "model.language_model.layers.36.mlp.experts.190", "model.language_model.layers.36.mlp.experts.191", "model.language_model.layers.36.mlp.experts.192", "model.language_model.layers.36.mlp.experts.193", "model.language_model.layers.36.mlp.experts.194", "model.language_model.layers.36.mlp.experts.195", "model.language_model.layers.36.mlp.experts.196", "model.language_model.layers.36.mlp.experts.197", "model.language_model.layers.36.mlp.experts.198", "model.language_model.layers.36.mlp.experts.199", "model.language_model.layers.36.mlp.experts.200", "model.language_model.layers.36.mlp.experts.201", "model.language_model.layers.36.mlp.experts.202", "model.language_model.layers.36.mlp.experts.203", "model.language_model.layers.36.mlp.experts.204", "model.language_model.layers.36.mlp.experts.205", "model.language_model.layers.36.mlp.experts.206", "model.language_model.layers.36.mlp.experts.207", "model.language_model.layers.36.mlp.experts.208", "model.language_model.layers.36.mlp.experts.209", "model.language_model.layers.36.mlp.experts.210", "model.language_model.layers.36.mlp.experts.211", "model.language_model.layers.36.mlp.experts.212", "model.language_model.layers.36.mlp.experts.213", "model.language_model.layers.36.mlp.experts.214", "model.language_model.layers.36.mlp.experts.215", "model.language_model.layers.36.mlp.experts.216", "model.language_model.layers.36.mlp.experts.217", "model.language_model.layers.36.mlp.experts.218", "model.language_model.layers.36.mlp.experts.219", "model.language_model.layers.36.mlp.experts.220", "model.language_model.layers.36.mlp.experts.221", "model.language_model.layers.36.mlp.experts.222", "model.language_model.layers.36.mlp.experts.223", "model.language_model.layers.36.mlp.experts.224", "model.language_model.layers.36.mlp.experts.225", "model.language_model.layers.36.mlp.experts.226", "model.language_model.layers.36.mlp.experts.227", "model.language_model.layers.36.mlp.experts.228", "model.language_model.layers.36.mlp.experts.229", "model.language_model.layers.36.mlp.experts.230", "model.language_model.layers.36.mlp.experts.231", "model.language_model.layers.36.mlp.experts.232", "model.language_model.layers.36.mlp.experts.233", "model.language_model.layers.36.mlp.experts.234", "model.language_model.layers.36.mlp.experts.235", "model.language_model.layers.36.mlp.experts.236", "model.language_model.layers.36.mlp.experts.237", "model.language_model.layers.36.mlp.experts.238", "model.language_model.layers.36.mlp.experts.239", "model.language_model.layers.36.mlp.experts.240", "model.language_model.layers.36.mlp.experts.241", "model.language_model.layers.36.mlp.experts.242", "model.language_model.layers.36.mlp.experts.243", "model.language_model.layers.36.mlp.experts.244", "model.language_model.layers.36.mlp.experts.245", "model.language_model.layers.36.mlp.experts.246", "model.language_model.layers.36.mlp.experts.247", "model.language_model.layers.36.mlp.experts.248", "model.language_model.layers.36.mlp.experts.249", "model.language_model.layers.36.mlp.experts.250", "model.language_model.layers.36.mlp.experts.251", "model.language_model.layers.36.mlp.experts.252", "model.language_model.layers.36.mlp.experts.253", "model.language_model.layers.36.mlp.experts.254", "model.language_model.layers.36.mlp.experts.255", "model.language_model.layers.36.mlp.shared_expert_gate", "model.language_model.layers.37.linear_attn", "model.language_model.layers.37.linear_attn.norm", "model.language_model.layers.37.linear_attn.in_proj_b", "model.language_model.layers.37.linear_attn.in_proj_a", "model.language_model.layers.37.mlp.gate", "model.language_model.layers.37.mlp.experts.0", "model.language_model.layers.37.mlp.experts.1", "model.language_model.layers.37.mlp.experts.2", "model.language_model.layers.37.mlp.experts.3", "model.language_model.layers.37.mlp.experts.4", "model.language_model.layers.37.mlp.experts.5", "model.language_model.layers.37.mlp.experts.6", "model.language_model.layers.37.mlp.experts.7", "model.language_model.layers.37.mlp.experts.8", "model.language_model.layers.37.mlp.experts.9", "model.language_model.layers.37.mlp.experts.10", "model.language_model.layers.37.mlp.experts.11", "model.language_model.layers.37.mlp.experts.12", "model.language_model.layers.37.mlp.experts.13", "model.language_model.layers.37.mlp.experts.14", "model.language_model.layers.37.mlp.experts.15", "model.language_model.layers.37.mlp.experts.16", "model.language_model.layers.37.mlp.experts.17", "model.language_model.layers.37.mlp.experts.18", "model.language_model.layers.37.mlp.experts.19", "model.language_model.layers.37.mlp.experts.20", "model.language_model.layers.37.mlp.experts.21", "model.language_model.layers.37.mlp.experts.22", "model.language_model.layers.37.mlp.experts.23", "model.language_model.layers.37.mlp.experts.24", "model.language_model.layers.37.mlp.experts.25", "model.language_model.layers.37.mlp.experts.26", "model.language_model.layers.37.mlp.experts.27", "model.language_model.layers.37.mlp.experts.28", "model.language_model.layers.37.mlp.experts.29", "model.language_model.layers.37.mlp.experts.30", "model.language_model.layers.37.mlp.experts.31", "model.language_model.layers.37.mlp.experts.32", "model.language_model.layers.37.mlp.experts.33", "model.language_model.layers.37.mlp.experts.34", "model.language_model.layers.37.mlp.experts.35", "model.language_model.layers.37.mlp.experts.36", "model.language_model.layers.37.mlp.experts.37", "model.language_model.layers.37.mlp.experts.38", "model.language_model.layers.37.mlp.experts.39", "model.language_model.layers.37.mlp.experts.40", "model.language_model.layers.37.mlp.experts.41", "model.language_model.layers.37.mlp.experts.42", "model.language_model.layers.37.mlp.experts.43", "model.language_model.layers.37.mlp.experts.44", "model.language_model.layers.37.mlp.experts.45", "model.language_model.layers.37.mlp.experts.46", "model.language_model.layers.37.mlp.experts.47", "model.language_model.layers.37.mlp.experts.48", "model.language_model.layers.37.mlp.experts.49", "model.language_model.layers.37.mlp.experts.50", "model.language_model.layers.37.mlp.experts.51", "model.language_model.layers.37.mlp.experts.52", "model.language_model.layers.37.mlp.experts.53", "model.language_model.layers.37.mlp.experts.54", "model.language_model.layers.37.mlp.experts.55", "model.language_model.layers.37.mlp.experts.56", "model.language_model.layers.37.mlp.experts.57", "model.language_model.layers.37.mlp.experts.58", "model.language_model.layers.37.mlp.experts.59", "model.language_model.layers.37.mlp.experts.60", "model.language_model.layers.37.mlp.experts.61", "model.language_model.layers.37.mlp.experts.62", "model.language_model.layers.37.mlp.experts.63", "model.language_model.layers.37.mlp.experts.64", "model.language_model.layers.37.mlp.experts.65", "model.language_model.layers.37.mlp.experts.66", "model.language_model.layers.37.mlp.experts.67", "model.language_model.layers.37.mlp.experts.68", "model.language_model.layers.37.mlp.experts.69", "model.language_model.layers.37.mlp.experts.70", "model.language_model.layers.37.mlp.experts.71", "model.language_model.layers.37.mlp.experts.72", "model.language_model.layers.37.mlp.experts.73", "model.language_model.layers.37.mlp.experts.74", "model.language_model.layers.37.mlp.experts.75", "model.language_model.layers.37.mlp.experts.76", "model.language_model.layers.37.mlp.experts.77", "model.language_model.layers.37.mlp.experts.78", "model.language_model.layers.37.mlp.experts.79", "model.language_model.layers.37.mlp.experts.80", "model.language_model.layers.37.mlp.experts.81", "model.language_model.layers.37.mlp.experts.82", "model.language_model.layers.37.mlp.experts.83", "model.language_model.layers.37.mlp.experts.84", "model.language_model.layers.37.mlp.experts.85", "model.language_model.layers.37.mlp.experts.86", "model.language_model.layers.37.mlp.experts.87", "model.language_model.layers.37.mlp.experts.88", "model.language_model.layers.37.mlp.experts.89", "model.language_model.layers.37.mlp.experts.90", "model.language_model.layers.37.mlp.experts.91", "model.language_model.layers.37.mlp.experts.92", "model.language_model.layers.37.mlp.experts.93", "model.language_model.layers.37.mlp.experts.94", "model.language_model.layers.37.mlp.experts.95", "model.language_model.layers.37.mlp.experts.96", "model.language_model.layers.37.mlp.experts.97", "model.language_model.layers.37.mlp.experts.98", "model.language_model.layers.37.mlp.experts.99", "model.language_model.layers.37.mlp.experts.100", "model.language_model.layers.37.mlp.experts.101", "model.language_model.layers.37.mlp.experts.102", "model.language_model.layers.37.mlp.experts.103", "model.language_model.layers.37.mlp.experts.104", "model.language_model.layers.37.mlp.experts.105", "model.language_model.layers.37.mlp.experts.106", "model.language_model.layers.37.mlp.experts.107", "model.language_model.layers.37.mlp.experts.108", "model.language_model.layers.37.mlp.experts.109", "model.language_model.layers.37.mlp.experts.110", "model.language_model.layers.37.mlp.experts.111", "model.language_model.layers.37.mlp.experts.112", "model.language_model.layers.37.mlp.experts.113", "model.language_model.layers.37.mlp.experts.114", "model.language_model.layers.37.mlp.experts.115", "model.language_model.layers.37.mlp.experts.116", "model.language_model.layers.37.mlp.experts.117", "model.language_model.layers.37.mlp.experts.118", "model.language_model.layers.37.mlp.experts.119", "model.language_model.layers.37.mlp.experts.120", "model.language_model.layers.37.mlp.experts.121", "model.language_model.layers.37.mlp.experts.122", "model.language_model.layers.37.mlp.experts.123", "model.language_model.layers.37.mlp.experts.124", "model.language_model.layers.37.mlp.experts.125", "model.language_model.layers.37.mlp.experts.126", "model.language_model.layers.37.mlp.experts.127", "model.language_model.layers.37.mlp.experts.128", "model.language_model.layers.37.mlp.experts.129", "model.language_model.layers.37.mlp.experts.130", "model.language_model.layers.37.mlp.experts.131", "model.language_model.layers.37.mlp.experts.132", "model.language_model.layers.37.mlp.experts.133", "model.language_model.layers.37.mlp.experts.134", "model.language_model.layers.37.mlp.experts.135", "model.language_model.layers.37.mlp.experts.136", "model.language_model.layers.37.mlp.experts.137", "model.language_model.layers.37.mlp.experts.138", "model.language_model.layers.37.mlp.experts.139", "model.language_model.layers.37.mlp.experts.140", "model.language_model.layers.37.mlp.experts.141", "model.language_model.layers.37.mlp.experts.142", "model.language_model.layers.37.mlp.experts.143", "model.language_model.layers.37.mlp.experts.144", "model.language_model.layers.37.mlp.experts.145", "model.language_model.layers.37.mlp.experts.146", "model.language_model.layers.37.mlp.experts.147", "model.language_model.layers.37.mlp.experts.148", "model.language_model.layers.37.mlp.experts.149", "model.language_model.layers.37.mlp.experts.150", "model.language_model.layers.37.mlp.experts.151", "model.language_model.layers.37.mlp.experts.152", "model.language_model.layers.37.mlp.experts.153", "model.language_model.layers.37.mlp.experts.154", "model.language_model.layers.37.mlp.experts.155", "model.language_model.layers.37.mlp.experts.156", "model.language_model.layers.37.mlp.experts.157", "model.language_model.layers.37.mlp.experts.158", "model.language_model.layers.37.mlp.experts.159", "model.language_model.layers.37.mlp.experts.160", "model.language_model.layers.37.mlp.experts.161", "model.language_model.layers.37.mlp.experts.162", "model.language_model.layers.37.mlp.experts.163", "model.language_model.layers.37.mlp.experts.164", "model.language_model.layers.37.mlp.experts.165", "model.language_model.layers.37.mlp.experts.166", "model.language_model.layers.37.mlp.experts.167", "model.language_model.layers.37.mlp.experts.168", "model.language_model.layers.37.mlp.experts.169", "model.language_model.layers.37.mlp.experts.170", "model.language_model.layers.37.mlp.experts.171", "model.language_model.layers.37.mlp.experts.172", "model.language_model.layers.37.mlp.experts.173", "model.language_model.layers.37.mlp.experts.174", "model.language_model.layers.37.mlp.experts.175", "model.language_model.layers.37.mlp.experts.176", "model.language_model.layers.37.mlp.experts.177", "model.language_model.layers.37.mlp.experts.178", "model.language_model.layers.37.mlp.experts.179", "model.language_model.layers.37.mlp.experts.180", "model.language_model.layers.37.mlp.experts.181", "model.language_model.layers.37.mlp.experts.182", "model.language_model.layers.37.mlp.experts.183", "model.language_model.layers.37.mlp.experts.184", "model.language_model.layers.37.mlp.experts.185", "model.language_model.layers.37.mlp.experts.186", "model.language_model.layers.37.mlp.experts.187", "model.language_model.layers.37.mlp.experts.188", "model.language_model.layers.37.mlp.experts.189", "model.language_model.layers.37.mlp.experts.190", "model.language_model.layers.37.mlp.experts.191", "model.language_model.layers.37.mlp.experts.192", "model.language_model.layers.37.mlp.experts.193", "model.language_model.layers.37.mlp.experts.194", "model.language_model.layers.37.mlp.experts.195", "model.language_model.layers.37.mlp.experts.196", "model.language_model.layers.37.mlp.experts.197", "model.language_model.layers.37.mlp.experts.198", "model.language_model.layers.37.mlp.experts.199", "model.language_model.layers.37.mlp.experts.200", "model.language_model.layers.37.mlp.experts.201", "model.language_model.layers.37.mlp.experts.202", "model.language_model.layers.37.mlp.experts.203", "model.language_model.layers.37.mlp.experts.204", "model.language_model.layers.37.mlp.experts.205", "model.language_model.layers.37.mlp.experts.206", "model.language_model.layers.37.mlp.experts.207", "model.language_model.layers.37.mlp.experts.208", "model.language_model.layers.37.mlp.experts.209", "model.language_model.layers.37.mlp.experts.210", "model.language_model.layers.37.mlp.experts.211", "model.language_model.layers.37.mlp.experts.212", "model.language_model.layers.37.mlp.experts.213", "model.language_model.layers.37.mlp.experts.214", "model.language_model.layers.37.mlp.experts.215", "model.language_model.layers.37.mlp.experts.216", "model.language_model.layers.37.mlp.experts.217", "model.language_model.layers.37.mlp.experts.218", "model.language_model.layers.37.mlp.experts.219", "model.language_model.layers.37.mlp.experts.220", "model.language_model.layers.37.mlp.experts.221", "model.language_model.layers.37.mlp.experts.222", "model.language_model.layers.37.mlp.experts.223", "model.language_model.layers.37.mlp.experts.224", "model.language_model.layers.37.mlp.experts.225", "model.language_model.layers.37.mlp.experts.226", "model.language_model.layers.37.mlp.experts.227", "model.language_model.layers.37.mlp.experts.228", "model.language_model.layers.37.mlp.experts.229", "model.language_model.layers.37.mlp.experts.230", "model.language_model.layers.37.mlp.experts.231", "model.language_model.layers.37.mlp.experts.232", "model.language_model.layers.37.mlp.experts.233", "model.language_model.layers.37.mlp.experts.234", "model.language_model.layers.37.mlp.experts.235", "model.language_model.layers.37.mlp.experts.236", "model.language_model.layers.37.mlp.experts.237", "model.language_model.layers.37.mlp.experts.238", "model.language_model.layers.37.mlp.experts.239", "model.language_model.layers.37.mlp.experts.240", "model.language_model.layers.37.mlp.experts.241", "model.language_model.layers.37.mlp.experts.242", "model.language_model.layers.37.mlp.experts.243", "model.language_model.layers.37.mlp.experts.244", "model.language_model.layers.37.mlp.experts.245", "model.language_model.layers.37.mlp.experts.246", "model.language_model.layers.37.mlp.experts.247", "model.language_model.layers.37.mlp.experts.248", "model.language_model.layers.37.mlp.experts.249", "model.language_model.layers.37.mlp.experts.250", "model.language_model.layers.37.mlp.experts.251", "model.language_model.layers.37.mlp.experts.252", "model.language_model.layers.37.mlp.experts.253", "model.language_model.layers.37.mlp.experts.254", "model.language_model.layers.37.mlp.experts.255", "model.language_model.layers.37.mlp.shared_expert_gate", "model.language_model.layers.38.linear_attn", "model.language_model.layers.38.linear_attn.norm", "model.language_model.layers.38.linear_attn.in_proj_b", "model.language_model.layers.38.linear_attn.in_proj_a", "model.language_model.layers.38.mlp.gate", "model.language_model.layers.38.mlp.experts.0", "model.language_model.layers.38.mlp.experts.1", "model.language_model.layers.38.mlp.experts.2", "model.language_model.layers.38.mlp.experts.3", "model.language_model.layers.38.mlp.experts.4", "model.language_model.layers.38.mlp.experts.5", "model.language_model.layers.38.mlp.experts.6", "model.language_model.layers.38.mlp.experts.7", "model.language_model.layers.38.mlp.experts.8", "model.language_model.layers.38.mlp.experts.9", "model.language_model.layers.38.mlp.experts.10", "model.language_model.layers.38.mlp.experts.11", "model.language_model.layers.38.mlp.experts.12", "model.language_model.layers.38.mlp.experts.13", "model.language_model.layers.38.mlp.experts.14", "model.language_model.layers.38.mlp.experts.15", "model.language_model.layers.38.mlp.experts.16", "model.language_model.layers.38.mlp.experts.17", "model.language_model.layers.38.mlp.experts.18", "model.language_model.layers.38.mlp.experts.19", "model.language_model.layers.38.mlp.experts.20", "model.language_model.layers.38.mlp.experts.21", "model.language_model.layers.38.mlp.experts.22", "model.language_model.layers.38.mlp.experts.23", "model.language_model.layers.38.mlp.experts.24", "model.language_model.layers.38.mlp.experts.25", "model.language_model.layers.38.mlp.experts.26", "model.language_model.layers.38.mlp.experts.27", "model.language_model.layers.38.mlp.experts.28", "model.language_model.layers.38.mlp.experts.29", "model.language_model.layers.38.mlp.experts.30", "model.language_model.layers.38.mlp.experts.31", "model.language_model.layers.38.mlp.experts.32", "model.language_model.layers.38.mlp.experts.33", "model.language_model.layers.38.mlp.experts.34", "model.language_model.layers.38.mlp.experts.35", "model.language_model.layers.38.mlp.experts.36", "model.language_model.layers.38.mlp.experts.37", "model.language_model.layers.38.mlp.experts.38", "model.language_model.layers.38.mlp.experts.39", "model.language_model.layers.38.mlp.experts.40", "model.language_model.layers.38.mlp.experts.41", "model.language_model.layers.38.mlp.experts.42", "model.language_model.layers.38.mlp.experts.43", "model.language_model.layers.38.mlp.experts.44", "model.language_model.layers.38.mlp.experts.45", "model.language_model.layers.38.mlp.experts.46", "model.language_model.layers.38.mlp.experts.47", "model.language_model.layers.38.mlp.experts.48", "model.language_model.layers.38.mlp.experts.49", "model.language_model.layers.38.mlp.experts.50", "model.language_model.layers.38.mlp.experts.51", "model.language_model.layers.38.mlp.experts.52", "model.language_model.layers.38.mlp.experts.53", "model.language_model.layers.38.mlp.experts.54", "model.language_model.layers.38.mlp.experts.55", "model.language_model.layers.38.mlp.experts.56", "model.language_model.layers.38.mlp.experts.57", "model.language_model.layers.38.mlp.experts.58", "model.language_model.layers.38.mlp.experts.59", "model.language_model.layers.38.mlp.experts.60", "model.language_model.layers.38.mlp.experts.61", "model.language_model.layers.38.mlp.experts.62", "model.language_model.layers.38.mlp.experts.63", "model.language_model.layers.38.mlp.experts.64", "model.language_model.layers.38.mlp.experts.65", "model.language_model.layers.38.mlp.experts.66", "model.language_model.layers.38.mlp.experts.67", "model.language_model.layers.38.mlp.experts.68", "model.language_model.layers.38.mlp.experts.69", "model.language_model.layers.38.mlp.experts.70", "model.language_model.layers.38.mlp.experts.71", "model.language_model.layers.38.mlp.experts.72", "model.language_model.layers.38.mlp.experts.73", "model.language_model.layers.38.mlp.experts.74", "model.language_model.layers.38.mlp.experts.75", "model.language_model.layers.38.mlp.experts.76", "model.language_model.layers.38.mlp.experts.77", "model.language_model.layers.38.mlp.experts.78", "model.language_model.layers.38.mlp.experts.79", "model.language_model.layers.38.mlp.experts.80", "model.language_model.layers.38.mlp.experts.81", "model.language_model.layers.38.mlp.experts.82", "model.language_model.layers.38.mlp.experts.83", "model.language_model.layers.38.mlp.experts.84", "model.language_model.layers.38.mlp.experts.85", "model.language_model.layers.38.mlp.experts.86", "model.language_model.layers.38.mlp.experts.87", "model.language_model.layers.38.mlp.experts.88", "model.language_model.layers.38.mlp.experts.89", "model.language_model.layers.38.mlp.experts.90", "model.language_model.layers.38.mlp.experts.91", "model.language_model.layers.38.mlp.experts.92", "model.language_model.layers.38.mlp.experts.93", "model.language_model.layers.38.mlp.experts.94", "model.language_model.layers.38.mlp.experts.95", "model.language_model.layers.38.mlp.experts.96", "model.language_model.layers.38.mlp.experts.97", "model.language_model.layers.38.mlp.experts.98", "model.language_model.layers.38.mlp.experts.99", "model.language_model.layers.38.mlp.experts.100", "model.language_model.layers.38.mlp.experts.101", "model.language_model.layers.38.mlp.experts.102", "model.language_model.layers.38.mlp.experts.103", "model.language_model.layers.38.mlp.experts.104", "model.language_model.layers.38.mlp.experts.105", "model.language_model.layers.38.mlp.experts.106", "model.language_model.layers.38.mlp.experts.107", "model.language_model.layers.38.mlp.experts.108", "model.language_model.layers.38.mlp.experts.109", "model.language_model.layers.38.mlp.experts.110", "model.language_model.layers.38.mlp.experts.111", "model.language_model.layers.38.mlp.experts.112", "model.language_model.layers.38.mlp.experts.113", "model.language_model.layers.38.mlp.experts.114", "model.language_model.layers.38.mlp.experts.115", "model.language_model.layers.38.mlp.experts.116", "model.language_model.layers.38.mlp.experts.117", "model.language_model.layers.38.mlp.experts.118", "model.language_model.layers.38.mlp.experts.119", "model.language_model.layers.38.mlp.experts.120", "model.language_model.layers.38.mlp.experts.121", "model.language_model.layers.38.mlp.experts.122", "model.language_model.layers.38.mlp.experts.123", "model.language_model.layers.38.mlp.experts.124", "model.language_model.layers.38.mlp.experts.125", "model.language_model.layers.38.mlp.experts.126", "model.language_model.layers.38.mlp.experts.127", "model.language_model.layers.38.mlp.experts.128", "model.language_model.layers.38.mlp.experts.129", "model.language_model.layers.38.mlp.experts.130", "model.language_model.layers.38.mlp.experts.131", "model.language_model.layers.38.mlp.experts.132", "model.language_model.layers.38.mlp.experts.133", "model.language_model.layers.38.mlp.experts.134", "model.language_model.layers.38.mlp.experts.135", "model.language_model.layers.38.mlp.experts.136", "model.language_model.layers.38.mlp.experts.137", "model.language_model.layers.38.mlp.experts.138", "model.language_model.layers.38.mlp.experts.139", "model.language_model.layers.38.mlp.experts.140", "model.language_model.layers.38.mlp.experts.141", "model.language_model.layers.38.mlp.experts.142", "model.language_model.layers.38.mlp.experts.143", "model.language_model.layers.38.mlp.experts.144", "model.language_model.layers.38.mlp.experts.145", "model.language_model.layers.38.mlp.experts.146", "model.language_model.layers.38.mlp.experts.147", "model.language_model.layers.38.mlp.experts.148", "model.language_model.layers.38.mlp.experts.149", "model.language_model.layers.38.mlp.experts.150", "model.language_model.layers.38.mlp.experts.151", "model.language_model.layers.38.mlp.experts.152", "model.language_model.layers.38.mlp.experts.153", "model.language_model.layers.38.mlp.experts.154", "model.language_model.layers.38.mlp.experts.155", "model.language_model.layers.38.mlp.experts.156", "model.language_model.layers.38.mlp.experts.157", "model.language_model.layers.38.mlp.experts.158", "model.language_model.layers.38.mlp.experts.159", "model.language_model.layers.38.mlp.experts.160", "model.language_model.layers.38.mlp.experts.161", "model.language_model.layers.38.mlp.experts.162", "model.language_model.layers.38.mlp.experts.163", "model.language_model.layers.38.mlp.experts.164", "model.language_model.layers.38.mlp.experts.165", "model.language_model.layers.38.mlp.experts.166", "model.language_model.layers.38.mlp.experts.167", "model.language_model.layers.38.mlp.experts.168", "model.language_model.layers.38.mlp.experts.169", "model.language_model.layers.38.mlp.experts.170", "model.language_model.layers.38.mlp.experts.171", "model.language_model.layers.38.mlp.experts.172", "model.language_model.layers.38.mlp.experts.173", "model.language_model.layers.38.mlp.experts.174", "model.language_model.layers.38.mlp.experts.175", "model.language_model.layers.38.mlp.experts.176", "model.language_model.layers.38.mlp.experts.177", "model.language_model.layers.38.mlp.experts.178", "model.language_model.layers.38.mlp.experts.179", "model.language_model.layers.38.mlp.experts.180", "model.language_model.layers.38.mlp.experts.181", "model.language_model.layers.38.mlp.experts.182", "model.language_model.layers.38.mlp.experts.183", "model.language_model.layers.38.mlp.experts.184", "model.language_model.layers.38.mlp.experts.185", "model.language_model.layers.38.mlp.experts.186", "model.language_model.layers.38.mlp.experts.187", "model.language_model.layers.38.mlp.experts.188", "model.language_model.layers.38.mlp.experts.189", "model.language_model.layers.38.mlp.experts.190", "model.language_model.layers.38.mlp.experts.191", "model.language_model.layers.38.mlp.experts.192", "model.language_model.layers.38.mlp.experts.193", "model.language_model.layers.38.mlp.experts.194", "model.language_model.layers.38.mlp.experts.195", "model.language_model.layers.38.mlp.experts.196", "model.language_model.layers.38.mlp.experts.197", "model.language_model.layers.38.mlp.experts.198", "model.language_model.layers.38.mlp.experts.199", "model.language_model.layers.38.mlp.experts.200", "model.language_model.layers.38.mlp.experts.201", "model.language_model.layers.38.mlp.experts.202", "model.language_model.layers.38.mlp.experts.203", "model.language_model.layers.38.mlp.experts.204", "model.language_model.layers.38.mlp.experts.205", "model.language_model.layers.38.mlp.experts.206", "model.language_model.layers.38.mlp.experts.207", "model.language_model.layers.38.mlp.experts.208", "model.language_model.layers.38.mlp.experts.209", "model.language_model.layers.38.mlp.experts.210", "model.language_model.layers.38.mlp.experts.211", "model.language_model.layers.38.mlp.experts.212", "model.language_model.layers.38.mlp.experts.213", "model.language_model.layers.38.mlp.experts.214", "model.language_model.layers.38.mlp.experts.215", "model.language_model.layers.38.mlp.experts.216", "model.language_model.layers.38.mlp.experts.217", "model.language_model.layers.38.mlp.experts.218", "model.language_model.layers.38.mlp.experts.219", "model.language_model.layers.38.mlp.experts.220", "model.language_model.layers.38.mlp.experts.221", "model.language_model.layers.38.mlp.experts.222", "model.language_model.layers.38.mlp.experts.223", "model.language_model.layers.38.mlp.experts.224", "model.language_model.layers.38.mlp.experts.225", "model.language_model.layers.38.mlp.experts.226", "model.language_model.layers.38.mlp.experts.227", "model.language_model.layers.38.mlp.experts.228", "model.language_model.layers.38.mlp.experts.229", "model.language_model.layers.38.mlp.experts.230", "model.language_model.layers.38.mlp.experts.231", "model.language_model.layers.38.mlp.experts.232", "model.language_model.layers.38.mlp.experts.233", "model.language_model.layers.38.mlp.experts.234", "model.language_model.layers.38.mlp.experts.235", "model.language_model.layers.38.mlp.experts.236", "model.language_model.layers.38.mlp.experts.237", "model.language_model.layers.38.mlp.experts.238", "model.language_model.layers.38.mlp.experts.239", "model.language_model.layers.38.mlp.experts.240", "model.language_model.layers.38.mlp.experts.241", "model.language_model.layers.38.mlp.experts.242", "model.language_model.layers.38.mlp.experts.243", "model.language_model.layers.38.mlp.experts.244", "model.language_model.layers.38.mlp.experts.245", "model.language_model.layers.38.mlp.experts.246", "model.language_model.layers.38.mlp.experts.247", "model.language_model.layers.38.mlp.experts.248", "model.language_model.layers.38.mlp.experts.249", "model.language_model.layers.38.mlp.experts.250", "model.language_model.layers.38.mlp.experts.251", "model.language_model.layers.38.mlp.experts.252", "model.language_model.layers.38.mlp.experts.253", "model.language_model.layers.38.mlp.experts.254", "model.language_model.layers.38.mlp.experts.255", "model.language_model.layers.38.mlp.shared_expert_gate", "model.language_model.layers.39.mlp.gate", "model.language_model.layers.39.mlp.experts.0", "model.language_model.layers.39.mlp.experts.1", "model.language_model.layers.39.mlp.experts.2", "model.language_model.layers.39.mlp.experts.3", "model.language_model.layers.39.mlp.experts.4", "model.language_model.layers.39.mlp.experts.5", "model.language_model.layers.39.mlp.experts.6", "model.language_model.layers.39.mlp.experts.7", "model.language_model.layers.39.mlp.experts.8", "model.language_model.layers.39.mlp.experts.9", "model.language_model.layers.39.mlp.experts.10", "model.language_model.layers.39.mlp.experts.11", "model.language_model.layers.39.mlp.experts.12", "model.language_model.layers.39.mlp.experts.13", "model.language_model.layers.39.mlp.experts.14", "model.language_model.layers.39.mlp.experts.15", "model.language_model.layers.39.mlp.experts.16", "model.language_model.layers.39.mlp.experts.17", "model.language_model.layers.39.mlp.experts.18", "model.language_model.layers.39.mlp.experts.19", "model.language_model.layers.39.mlp.experts.20", "model.language_model.layers.39.mlp.experts.21", "model.language_model.layers.39.mlp.experts.22", "model.language_model.layers.39.mlp.experts.23", "model.language_model.layers.39.mlp.experts.24", "model.language_model.layers.39.mlp.experts.25", "model.language_model.layers.39.mlp.experts.26", "model.language_model.layers.39.mlp.experts.27", "model.language_model.layers.39.mlp.experts.28", "model.language_model.layers.39.mlp.experts.29", "model.language_model.layers.39.mlp.experts.30", "model.language_model.layers.39.mlp.experts.31", "model.language_model.layers.39.mlp.experts.32", "model.language_model.layers.39.mlp.experts.33", "model.language_model.layers.39.mlp.experts.34", "model.language_model.layers.39.mlp.experts.35", "model.language_model.layers.39.mlp.experts.36", "model.language_model.layers.39.mlp.experts.37", "model.language_model.layers.39.mlp.experts.38", "model.language_model.layers.39.mlp.experts.39", "model.language_model.layers.39.mlp.experts.40", "model.language_model.layers.39.mlp.experts.41", "model.language_model.layers.39.mlp.experts.42", "model.language_model.layers.39.mlp.experts.43", "model.language_model.layers.39.mlp.experts.44", "model.language_model.layers.39.mlp.experts.45", "model.language_model.layers.39.mlp.experts.46", "model.language_model.layers.39.mlp.experts.47", "model.language_model.layers.39.mlp.experts.48", "model.language_model.layers.39.mlp.experts.49", "model.language_model.layers.39.mlp.experts.50", "model.language_model.layers.39.mlp.experts.51", "model.language_model.layers.39.mlp.experts.52", "model.language_model.layers.39.mlp.experts.53", "model.language_model.layers.39.mlp.experts.54", "model.language_model.layers.39.mlp.experts.55", "model.language_model.layers.39.mlp.experts.56", "model.language_model.layers.39.mlp.experts.57", "model.language_model.layers.39.mlp.experts.58", "model.language_model.layers.39.mlp.experts.59", "model.language_model.layers.39.mlp.experts.60", "model.language_model.layers.39.mlp.experts.61", "model.language_model.layers.39.mlp.experts.62", "model.language_model.layers.39.mlp.experts.63", "model.language_model.layers.39.mlp.experts.64", "model.language_model.layers.39.mlp.experts.65", "model.language_model.layers.39.mlp.experts.66", "model.language_model.layers.39.mlp.experts.67", "model.language_model.layers.39.mlp.experts.68", "model.language_model.layers.39.mlp.experts.69", "model.language_model.layers.39.mlp.experts.70", "model.language_model.layers.39.mlp.experts.71", "model.language_model.layers.39.mlp.experts.72", "model.language_model.layers.39.mlp.experts.73", "model.language_model.layers.39.mlp.experts.74", "model.language_model.layers.39.mlp.experts.75", "model.language_model.layers.39.mlp.experts.76", "model.language_model.layers.39.mlp.experts.77", "model.language_model.layers.39.mlp.experts.78", "model.language_model.layers.39.mlp.experts.79", "model.language_model.layers.39.mlp.experts.80", "model.language_model.layers.39.mlp.experts.81", "model.language_model.layers.39.mlp.experts.82", "model.language_model.layers.39.mlp.experts.83", "model.language_model.layers.39.mlp.experts.84", "model.language_model.layers.39.mlp.experts.85", "model.language_model.layers.39.mlp.experts.86", "model.language_model.layers.39.mlp.experts.87", "model.language_model.layers.39.mlp.experts.88", "model.language_model.layers.39.mlp.experts.89", "model.language_model.layers.39.mlp.experts.90", "model.language_model.layers.39.mlp.experts.91", "model.language_model.layers.39.mlp.experts.92", "model.language_model.layers.39.mlp.experts.93", "model.language_model.layers.39.mlp.experts.94", "model.language_model.layers.39.mlp.experts.95", "model.language_model.layers.39.mlp.experts.96", "model.language_model.layers.39.mlp.experts.97", "model.language_model.layers.39.mlp.experts.98", "model.language_model.layers.39.mlp.experts.99", "model.language_model.layers.39.mlp.experts.100", "model.language_model.layers.39.mlp.experts.101", "model.language_model.layers.39.mlp.experts.102", "model.language_model.layers.39.mlp.experts.103", "model.language_model.layers.39.mlp.experts.104", "model.language_model.layers.39.mlp.experts.105", "model.language_model.layers.39.mlp.experts.106", "model.language_model.layers.39.mlp.experts.107", "model.language_model.layers.39.mlp.experts.108", "model.language_model.layers.39.mlp.experts.109", "model.language_model.layers.39.mlp.experts.110", "model.language_model.layers.39.mlp.experts.111", "model.language_model.layers.39.mlp.experts.112", "model.language_model.layers.39.mlp.experts.113", "model.language_model.layers.39.mlp.experts.114", "model.language_model.layers.39.mlp.experts.115", "model.language_model.layers.39.mlp.experts.116", "model.language_model.layers.39.mlp.experts.117", "model.language_model.layers.39.mlp.experts.118", "model.language_model.layers.39.mlp.experts.119", "model.language_model.layers.39.mlp.experts.120", "model.language_model.layers.39.mlp.experts.121", "model.language_model.layers.39.mlp.experts.122", "model.language_model.layers.39.mlp.experts.123", "model.language_model.layers.39.mlp.experts.124", "model.language_model.layers.39.mlp.experts.125", "model.language_model.layers.39.mlp.experts.126", "model.language_model.layers.39.mlp.experts.127", "model.language_model.layers.39.mlp.experts.128", "model.language_model.layers.39.mlp.experts.129", "model.language_model.layers.39.mlp.experts.130", "model.language_model.layers.39.mlp.experts.131", "model.language_model.layers.39.mlp.experts.132", "model.language_model.layers.39.mlp.experts.133", "model.language_model.layers.39.mlp.experts.134", "model.language_model.layers.39.mlp.experts.135", "model.language_model.layers.39.mlp.experts.136", "model.language_model.layers.39.mlp.experts.137", "model.language_model.layers.39.mlp.experts.138", "model.language_model.layers.39.mlp.experts.139", "model.language_model.layers.39.mlp.experts.140", "model.language_model.layers.39.mlp.experts.141", "model.language_model.layers.39.mlp.experts.142", "model.language_model.layers.39.mlp.experts.143", "model.language_model.layers.39.mlp.experts.144", "model.language_model.layers.39.mlp.experts.145", "model.language_model.layers.39.mlp.experts.146", "model.language_model.layers.39.mlp.experts.147", "model.language_model.layers.39.mlp.experts.148", "model.language_model.layers.39.mlp.experts.149", "model.language_model.layers.39.mlp.experts.150", "model.language_model.layers.39.mlp.experts.151", "model.language_model.layers.39.mlp.experts.152", "model.language_model.layers.39.mlp.experts.153", "model.language_model.layers.39.mlp.experts.154", "model.language_model.layers.39.mlp.experts.155", "model.language_model.layers.39.mlp.experts.156", "model.language_model.layers.39.mlp.experts.157", "model.language_model.layers.39.mlp.experts.158", "model.language_model.layers.39.mlp.experts.159", "model.language_model.layers.39.mlp.experts.160", "model.language_model.layers.39.mlp.experts.161", "model.language_model.layers.39.mlp.experts.162", "model.language_model.layers.39.mlp.experts.163", "model.language_model.layers.39.mlp.experts.164", "model.language_model.layers.39.mlp.experts.165", "model.language_model.layers.39.mlp.experts.166", "model.language_model.layers.39.mlp.experts.167", "model.language_model.layers.39.mlp.experts.168", "model.language_model.layers.39.mlp.experts.169", "model.language_model.layers.39.mlp.experts.170", "model.language_model.layers.39.mlp.experts.171", "model.language_model.layers.39.mlp.experts.172", "model.language_model.layers.39.mlp.experts.173", "model.language_model.layers.39.mlp.experts.174", "model.language_model.layers.39.mlp.experts.175", "model.language_model.layers.39.mlp.experts.176", "model.language_model.layers.39.mlp.experts.177", "model.language_model.layers.39.mlp.experts.178", "model.language_model.layers.39.mlp.experts.179", "model.language_model.layers.39.mlp.experts.180", "model.language_model.layers.39.mlp.experts.181", "model.language_model.layers.39.mlp.experts.182", "model.language_model.layers.39.mlp.experts.183", "model.language_model.layers.39.mlp.experts.184", "model.language_model.layers.39.mlp.experts.185", "model.language_model.layers.39.mlp.experts.186", "model.language_model.layers.39.mlp.experts.187", "model.language_model.layers.39.mlp.experts.188", "model.language_model.layers.39.mlp.experts.189", "model.language_model.layers.39.mlp.experts.190", "model.language_model.layers.39.mlp.experts.191", "model.language_model.layers.39.mlp.experts.192", "model.language_model.layers.39.mlp.experts.193", "model.language_model.layers.39.mlp.experts.194", "model.language_model.layers.39.mlp.experts.195", "model.language_model.layers.39.mlp.experts.196", "model.language_model.layers.39.mlp.experts.197", "model.language_model.layers.39.mlp.experts.198", "model.language_model.layers.39.mlp.experts.199", "model.language_model.layers.39.mlp.experts.200", "model.language_model.layers.39.mlp.experts.201", "model.language_model.layers.39.mlp.experts.202", "model.language_model.layers.39.mlp.experts.203", "model.language_model.layers.39.mlp.experts.204", "model.language_model.layers.39.mlp.experts.205", "model.language_model.layers.39.mlp.experts.206", "model.language_model.layers.39.mlp.experts.207", "model.language_model.layers.39.mlp.experts.208", "model.language_model.layers.39.mlp.experts.209", "model.language_model.layers.39.mlp.experts.210", "model.language_model.layers.39.mlp.experts.211", "model.language_model.layers.39.mlp.experts.212", "model.language_model.layers.39.mlp.experts.213", "model.language_model.layers.39.mlp.experts.214", "model.language_model.layers.39.mlp.experts.215", "model.language_model.layers.39.mlp.experts.216", "model.language_model.layers.39.mlp.experts.217", "model.language_model.layers.39.mlp.experts.218", "model.language_model.layers.39.mlp.experts.219", "model.language_model.layers.39.mlp.experts.220", "model.language_model.layers.39.mlp.experts.221", "model.language_model.layers.39.mlp.experts.222", "model.language_model.layers.39.mlp.experts.223", "model.language_model.layers.39.mlp.experts.224", "model.language_model.layers.39.mlp.experts.225", "model.language_model.layers.39.mlp.experts.226", "model.language_model.layers.39.mlp.experts.227", "model.language_model.layers.39.mlp.experts.228", "model.language_model.layers.39.mlp.experts.229", "model.language_model.layers.39.mlp.experts.230", "model.language_model.layers.39.mlp.experts.231", "model.language_model.layers.39.mlp.experts.232", "model.language_model.layers.39.mlp.experts.233", "model.language_model.layers.39.mlp.experts.234", "model.language_model.layers.39.mlp.experts.235", "model.language_model.layers.39.mlp.experts.236", "model.language_model.layers.39.mlp.experts.237", "model.language_model.layers.39.mlp.experts.238", "model.language_model.layers.39.mlp.experts.239", "model.language_model.layers.39.mlp.experts.240", "model.language_model.layers.39.mlp.experts.241", "model.language_model.layers.39.mlp.experts.242", "model.language_model.layers.39.mlp.experts.243", "model.language_model.layers.39.mlp.experts.244", "model.language_model.layers.39.mlp.experts.245", "model.language_model.layers.39.mlp.experts.246", "model.language_model.layers.39.mlp.experts.247", "model.language_model.layers.39.mlp.experts.248", "model.language_model.layers.39.mlp.experts.249", "model.language_model.layers.39.mlp.experts.250", "model.language_model.layers.39.mlp.experts.251", "model.language_model.layers.39.mlp.experts.252", "model.language_model.layers.39.mlp.experts.253", "model.language_model.layers.39.mlp.experts.254", "model.language_model.layers.39.mlp.experts.255", "model.language_model.layers.39.mlp.shared_expert_gate", "lm_head" ], "kv_cache_scheme": null, "quant_method": "compressed-tensors", "quantization_status": "compressed", "sparsity_config": {}, "transform_config": {}, "version": "0.17.1" }, "text_config": { "attention_bias": false, "attention_dropout": 0.0, "attn_output_gate": true, "bos_token_id": 248044, "dtype": "bfloat16", "eos_token_id": 248044, "full_attention_interval": 4, "head_dim": 256, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "layer_types": [ "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention" ], "linear_conv_kernel_dim": 4, "linear_key_head_dim": 128, "linear_num_key_heads": 16, "linear_num_value_heads": 32, "linear_value_head_dim": 128, "mamba_ssm_dtype": "float32", "max_position_embeddings": 262144, "model_type": "qwen3_5_moe_text", "moe_intermediate_size": 512, "mtp_num_hidden_layers": 1, "mtp_use_dedicated_embeddings": false, "num_attention_heads": 16, "num_experts": 256, "num_experts_per_tok": 8, "num_hidden_layers": 40, "num_key_value_heads": 2, "output_router_logits": false, "pad_token_id": null, "partial_rotary_factor": 0.25, "rms_norm_eps": 1e-06, "rope_parameters": { "mrope_interleaved": true, "mrope_section": [ 11, 11, 10 ], "partial_rotary_factor": 0.25, "rope_theta": 10000000, "rope_type": "default" }, "router_aux_loss_coef": 0.001, "shared_expert_intermediate_size": 512, "tie_word_embeddings": false, "use_cache": true, "vocab_size": 248320 }, "tie_word_embeddings": false, "transformers_version": "5.10.1", "use_cache": false, "video_token_id": 248057, "vision_config": { "deepstack_visual_indexes": [], "depth": 27, "dtype": "bfloat16", "hidden_act": "gelu_pytorch_tanh", "hidden_size": 1152, "in_channels": 3, "initializer_range": 0.02, "intermediate_size": 4304, "model_type": "qwen3_5_moe_vision", "num_heads": 16, "num_position_embeddings": 2304, "out_hidden_size": 2048, "patch_size": 16, "spatial_merge_size": 2, "temporal_patch_size": 2 }, "vision_end_token_id": 248054, "vision_start_token_id": 248053 }