config.json

{
  "architectures": [
    "DeepseekV32ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 0,
  "eos_token_id": 1,
  "ep_size": 1,
  "first_k_dense_replace": 3,
  "hidden_act": "silu",
  "hidden_size": 7168,
  "index_head_dim": 128,
  "index_n_heads": 64,
  "index_topk": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 18432,
  "kv_lora_rank": 512,
  "max_position_embeddings": 163840,
  "model_type": "deepseek_v32",
  "moe_intermediate_size": 2048,
  "moe_layer_freq": 1,
  "n_group": 8,
  "n_routed_experts": 256,
  "n_shared_experts": 1,
  "norm_topk_prob": true,
  "num_attention_heads": 128,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 61,
  "num_key_value_heads": 128,
  "num_nextn_predict_layers": 1,
  "q_lora_rank": 1536,
  "qk_nope_head_dim": 128,
  "qk_rope_head_dim": 64,
  "quantization_config": {
    "quant_method": "modelopt",
    "quant_algo": "NVFP4",
    "config_groups": {
      "group_0": {
        "targets": [
          "Linear"
        ],
        "weights": {
          "num_bits": 4,
          "type": "float",
          "group_size": 16,
          "dynamic": false
        },
        "input_activations": null
      }
    },
    "ignore": [
      "lm_head",
      "model.embed_tokens",
      "re:.*\\.mlp\\.gate$",
      "re:.*layernorm.*",
      "re:.*_norm.*",
      "re:.*indexer\\.weights_proj.*",
      "re:.*indexer\\.k_norm.*"
    ],
    "kv_cache_scheme": null,
    "original_format": {
      "quant_method": "fp8",
      "fmt": "e4m3",
      "scale_fmt": "ue8m0",
      "weight_block_size": [
        128,
        128
      ]
    },
    "conversion_info": {
      "source": "fp8_e4m3",
      "target": "nvfp4_e2m1",
      "intermediate": "fp32",
      "timestamp": "2025-12-02 18:50:21"
    }
  },
  "rms_norm_eps": 1e-06,
  "rope_scaling": {
    "beta_fast": 32,
    "beta_slow": 1,
    "factor": 40,
    "mscale": 1.0,
    "mscale_all_dim": 1.0,
    "original_max_position_embeddings": 4096,
    "type": "yarn"
  },
  "rope_theta": 10000,
  "routed_scaling_factor": 2.5,
  "scoring_func": "sigmoid",
  "tie_word_embeddings": false,
  "topk_group": 4,
  "topk_method": "noaux_tc",
  "torch_dtype": "bfloat16",
  "transformers_version": "4.44.2",
  "use_cache": true,
  "v_head_dim": 128,
  "vocab_size": 129280
}