config.json

{
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  "bos_token_id": 0,
  "embedding_dropout": 0.1,
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  "hidden_act": "gelu_pytorch_tanh",
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  "mlp_type": "default",
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  "norm_type": "layer_norm",
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  "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",
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  "vocab_size": 49152,
  "quantization_config": {
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        "input_activations": null,
        "output_activations": null,
        "targets": [
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        "weights": {
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          "dynamic": false,
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          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
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          "symmetric": true,
          "type": "int"
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    "ignore": [
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    "quant_method": "compressed-tensors",
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      "sparsity_structure": "unstructured"
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}