config.json

{
  "architectures": [
    "NemotronHForCausalLM"
  ],
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  "bos_token_id": 1,
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  "mamba_hidden_act": "silu",
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  "mamba_proj_bias": false,
  "mamba_ssm_cache_dtype": "float32",
  "max_position_embeddings": 262144,
  "mlp_bias": false,
  "mlp_hidden_act": "relu2",
  "model_type": "nemotron_h",
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  "moe_latent_size": 2048,
  "moe_shared_expert_intermediate_size": 10240,
  "moe_shared_expert_overlap": false,
  "mtp_layers_block_type": [
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  "n_group": 1,
  "n_groups": 8,
  "n_routed_experts": 512,
  "n_shared_experts": 1,
  "norm_eps": 1e-05,
  "norm_topk_prob": true,
  "num_attention_heads": 64,
  "num_experts_per_tok": 22,
  "num_key_value_heads": 2,
  "num_logits_to_keep": 1,
  "num_nextn_predict_layers": 1,
  "pad_token_id": 0,
  "partial_rotary_factor": 1.0,
  "quantization_config": {
    "config_groups": {
      "config_group_0": {
        "format": "pack-quantized",
        "input_activations": null,
        "output_activations": null,
        "targets": [
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        ],
        "weights": {
          "actorder": null,
          "block_structure": null,
          "dynamic": false,
          "group_size": 128,
          "num_bits": 4,
          "observer": "memoryless_minmax",
          "observer_kwargs": {},
          "scale_dtype": null,
          "strategy": "group",
          "symmetric": true,
          "type": "int",
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        }
      }
    },
    "format": "pack-quantized",
    "global_compression_ratio": null,
    "ignore": [
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      "re:.*mixer.conv1d.*",
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      "re:.*bias$",
      "re:.*embed_tokens$",
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    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
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    "version": "0.17.1.a20260602"
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  "rescale_prenorm_residual": true,
  "residual_in_fp32": false,
  "rope_theta": 10000,
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  "sliding_window": null,
  "ssm_state_size": 128,
  "tie_word_embeddings": false,
  "time_step_floor": 0.0001,
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  "topk_group": 1,
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  "use_cache": true,
  "use_conv_bias": true,
  "use_mamba_kernels": true,
  "vocab_size": 131072
}