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{
  "_name_or_path": "sapienzanlp/Minerva-7B-base-v1.0",
  "architectures": [
    "MistralForCausalLM"
  ],
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  "intermediate_size": 14336,
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  "model_type": "mistral",
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  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "quantization_config": {
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    "backend": "auto_round:exllamav2",
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    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
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    "enable_quanted_input": true,
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    "iters": 200,
    "low_gpu_mem_usage": false,
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    "quant_method": "intel/auto-round",
    "scale_dtype": "torch.float16",
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    "sym": false,
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  },
  "rms_norm_eps": 1e-05,
  "rope_theta": 10000.0,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
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  "use_cache": false,
  "vocab_size": 51200
}