config.json

{
  "_name_or_path": "/root/.cache/huggingface/hub/models--google--gemma-2-2b/snapshots/c5ebcd40d208330abc697524c919956e692655cf",
  "architectures": [
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  "attention_bias": false,
  "attention_dropout": 0.0,
  "attn_logit_softcapping": 50.0,
  "bos_token_id": 2,
  "cache_implementation": "hybrid",
  "eos_token_id": 1,
  "final_logit_softcapping": 30.0,
  "head_dim": 256,
  "hidden_act": "gelu_pytorch_tanh",
  "hidden_activation": "gelu_pytorch_tanh",
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  "initializer_range": 0.02,
  "intermediate_size": 9216,
  "max_position_embeddings": 8192,
  "model_type": "gemma2",
  "num_attention_heads": 8,
  "num_hidden_layers": 26,
  "num_key_value_heads": 4,
  "pad_token_id": 0,
  "query_pre_attn_scalar": 256,
  "rms_norm_eps": 1e-06,
  "rope_theta": 10000.0,
  "sliding_window": 4096,
  "torch_dtype": "float32",
  "transformers_version": "4.44.0",
  "use_cache": true,
  "vocab_size": 256000,
  "quantization_config": {
    "config_groups": {
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        "input_activations": null,
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "block_structure": null,
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "channel",
          "symmetric": true,
          "type": "int"
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    },
    "format": "pack-quantized",
    "global_compression_ratio": 1.6674065986819866,
    "ignore": [
      "lm_head"
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    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "frozen"
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}