{ "architectures": [ "Glm4MoeLiteForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 0, "dtype": "bfloat16", "eos_token_id": [ 154820, 154827, 154829 ], "first_k_dense_replace": 1, "head_dim": 64, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 10240, "kv_lora_rank": 512, "max_position_embeddings": 202752, "mlp_layer_types": [ "dense", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse", "sparse" ], "model_type": "glm4_moe_lite", "moe_intermediate_size": 1536, "n_group": 1, "n_routed_experts": 48, "n_shared_experts": 1, "norm_topk_prob": true, "num_attention_heads": 20, "num_experts_per_tok": 4, "num_hidden_layers": 47, "num_key_value_heads": 20, "num_nextn_predict_layers": 0, "pad_token_id": 154820, "partial_rotary_factor": 1.0, "pretraining_tp": 1, "q_lora_rank": 768, "qk_head_dim": 256, "qk_nope_head_dim": 192, "qk_rope_head_dim": 64, "rms_norm_eps": 1e-05, "rope_interleave": true, "rope_parameters": { "partial_rotary_factor": 1.0, "rope_theta": 1000000, "rope_type": "default" }, "routed_scaling_factor": 1.8, "tie_word_embeddings": false, "topk_group": 1, "topk_method": "noaux_tc", "transformers_version": "5.0.0rc3", "use_cache": true, "v_head_dim": 256, "vocab_size": 154880, "quantization": { "group_size": 64, "bits": 5, "mode": "affine", "model.layers.5.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.mlp.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.mlp.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.4.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.embed_tokens": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.9.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.9.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.15.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.14.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.37.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.41.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.45.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.44.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.44.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.45.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "lm_head": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.4.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.14.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" } }, "quantization_config": { "group_size": 64, "bits": 5, "mode": "affine", "model.layers.5.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.mlp.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.mlp.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.4.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.embed_tokens": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.9.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.9.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.5.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.15.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.14.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.11.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.12.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.37.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.41.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.38.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.42.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.q_b_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.o_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.mlp.shared_experts.down_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.45.self_attn.o_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.mlp.shared_experts.gate_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.44.mlp.shared_experts.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.mlp.shared_experts.up_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.q_a_proj": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.44.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.mlp.shared_experts.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.q_b_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.kv_a_proj_with_mqa": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.45.mlp.shared_experts.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.q_a_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.kv_a_proj_with_mqa": { "bits": 6, "group_size": 64, "mode": "affine" }, "lm_head": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.0.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.1.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.2.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.3.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.4.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.4.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.6.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.7.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.8.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.9.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.10.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.11.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.12.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.13.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.13.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.14.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.15.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.16.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.17.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.19.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.20.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.22.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.23.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.24.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.25.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.26.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.27.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.28.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.29.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.30.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.31.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.32.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.33.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.34.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.35.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.36.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.37.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.38.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.39.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.39.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.40.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.40.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.41.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.42.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.43.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.44.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.embed_q": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.45.self_attn.unembed_out": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.46.self_attn.embed_q": { "bits": 8, "group_size": 32, "mode": "mxfp8" }, "model.layers.46.self_attn.unembed_out": { "bits": 8, "group_size": 32, "mode": "mxfp8" } } }