config.json

{
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  "architectures": [
    "LlamaForCausalLM"
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  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "compression_config": {
    "config_groups": {
      "group_0": {
        "input_activations": {
          "actorder": false,
          "block_structure": null,
          "dynamic": true,
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          "num_bits": 8,
          "observer": "memoryless",
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          "symmetric": true,
          "type": "float"
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        "targets": [
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        ],
        "weights": {
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          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "channel",
          "symmetric": true,
          "type": "float"
        }
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    "format": "float-quantized",
    "global_compression_ratio": 1.2383372224751887,
    "ignore": [
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    "quant_method": "compressed-tensors",
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  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.45.0.dev0",
  "use_cache": true,
  "vocab_size": 32000
}