gemma-2-9b-it-AWQ-INT4 / config.json
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{
"_name_or_path": "hugging-quants--gemma-2-9b-it-AWQ-INT4",
"architectures": [
"Gemma2ForCausalLM"
],
"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",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "gemma2",
"num_attention_heads": 16,
"num_hidden_layers": 42,
"num_key_value_heads": 8,
"pad_token_id": 0,
"quantization_config": {
"backend": "autoawq",
"bits": 4,
"do_fuse": false,
"exllama_config": null,
"fuse_max_seq_len": null,
"group_size": 128,
"modules_to_fuse": null,
"modules_to_not_convert": null,
"quant_method": "awq",
"version": "gemm",
"zero_point": true
},
"query_pre_attn_scalar": 256,
"rms_norm_eps": 1e-06,
"rope_theta": 10000.0,
"sliding_window": 4096,
"sliding_window_size": 4096,
"torch_dtype": "bfloat16",
"transformers_version": "4.45.2",
"use_cache": false,
"vocab_size": 256000
}