config.json

{
  "_name_or_path": "/data5/models/QwQ-32B-Preview",
  "architectures": [
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  "eos_token_id": 151645,
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  "initializer_range": 0.02,
  "intermediate_size": 27648,
  "max_position_embeddings": 32768,
  "max_window_layers": 64,
  "model_type": "qwen2",
  "num_attention_heads": 40,
  "num_hidden_layers": 64,
  "num_key_value_heads": 8,
  "quantization_config": {
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    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "extra_config": {
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        "data_type": "float"
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      "model.layers.5.mlp.gate_proj": {
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        "data_type": "float"
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        "data_type": "float"
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    "gradient_accumulate_steps": 1,
    "group_size": 128,
    "iters": 200,
    "low_gpu_mem_usage": false,
    "lr": 0.005,
    "minmax_lr": 0.005,
    "nsamples": 128,
    "quant_method": "intel/auto-round",
    "scale_dtype": "torch.float16",
    "seqlen": 2048,
    "sym": true,
    "to_quant_block_names": [
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  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 1000000.0,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.47.0.dev0",
  "use_cache": true,
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  "vocab_size": 152064
}