config.json

{
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  "architectures": [
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  "attn_logit_softcapping": 50.0,
  "bos_token_id": 2,
  "cache_implementation": "hybrid",
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  "final_logit_softcapping": 30.0,
  "head_dim": 256,
  "hidden_act": "gelu_pytorch_tanh",
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  "initializer_range": 0.02,
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  "max_position_embeddings": 8192,
  "model_type": "gemma2",
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  "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": "float16",
  "transformers_version": "4.44.0.dev0",
  "use_cache": true,
  "vocab_size": 256000,
  "quantization_config": {
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          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
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        "targets": [
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        "weights": {
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    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "frozen"
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}