config.json

{
  "_name_or_path": "/root/.cache/huggingface/hub/models--bigcode--starcoder2-7b/snapshots/bb9afde76d7945da5745592525db122d4d729eb1",
  "activation_function": "gelu",
  "architectures": [
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  ],
  "attention_dropout": 0.1,
  "attention_softmax_in_fp32": true,
  "bos_token_id": 0,
  "compression_config": {
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          "dynamic": true,
          "group_size": null,
          "num_bits": 8,
          "observer": "memoryless",
          "observer_kwargs": {},
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          "symmetric": true,
          "type": "int"
        },
        "output_activations": null,
        "targets": [
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        "weights": {
          "block_structure": null,
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          "num_bits": 8,
          "observer": "minmax",
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          "strategy": "channel",
          "symmetric": true,
          "type": "int"
        }
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    "format": "int-quantized",
    "global_compression_ratio": 1.229096047677562,
    "ignore": [
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    "quant_method": "compressed-tensors",
    "quantization_status": "frozen",
    "sparsity_config": {
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      "registry_requires_subclass": false,
      "sparsity_structure": "unstructured"
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  "embedding_dropout": 0.1,
  "eos_token_id": 0,
  "hidden_act": "gelu_pytorch_tanh",
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  "initializer_range": 0.018042,
  "intermediate_size": 18432,
  "layer_norm_epsilon": 1e-05,
  "max_position_embeddings": 16384,
  "mlp_type": "default",
  "model_type": "starcoder2",
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  "norm_type": "layer_norm",
  "num_attention_heads": 36,
  "num_hidden_layers": 32,
  "num_key_value_heads": 4,
  "residual_dropout": 0.1,
  "rope_theta": 1000000,
  "scale_attention_softmax_in_fp32": true,
  "scale_attn_weights": true,
  "sliding_window": 4096,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.43.3",
  "use_bias": true,
  "use_cache": true,
  "vocab_size": 49152
}