config.json

{
  "architectures": [
    "Qwen3ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "decoder_start_token_id": 128000,
  "dtype": "bfloat16",
  "eos_token_id": 128001,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 5120,
  "initializer_range": 0.02,
  "intermediate_size": 27648,
  "layer_types": [
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    "full_attention",
    "full_attention",
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    "full_attention",
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    "full_attention",
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    "full_attention",
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    "full_attention",
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    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
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    "full_attention",
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    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention"
  ],
  "max_position_embeddings": 4096,
  "max_window_layers": 28,
  "model_type": "qwen3",
  "no_bias": true,
  "num_attention_heads": 40,
  "num_hidden_layers": 64,
  "num_key_value_heads": 8,
  "pad_token_id": 128004,
  "quantization_config": {
    "bits": 4,
    "checkpoint_format": "gemm",
    "desc_act": false,
    "group_size": 32,
    "lm_head": false,
    "meta": {
      "act_group_aware": true,
      "damp_auto_increment": 0.01,
      "damp_percent": 0.05,
      "mse": 0.0,
      "quantizer": [
        "gptqmodel:5.1.0-dev"
      ],
      "static_groups": false,
      "true_sequential": true,
      "uri": "https://github.com/modelcloud/gptqmodel",
      "v2": false,
      "v2_alpha": 0.25
    },
    "pack_dtype": "int32",
    "pack_impl": "cpu",
    "quant_method": "awq",
    "sym": true,
    "version": "gemm",
    "zero_point": true
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 8.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
  },
  "rope_theta": 500000,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "transformers_version": "4.57.1",
  "use_cache": true,
  "use_sliding_window": false,
  "vocab_size": 128256
}