vicuna-68m-gptq / config.json
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AutoGPTQ model for vicuna-68m-gptq: 4bits, gr128, desc_act=False
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{
"_name_or_path": "double7/vicuna-68m",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 2048,
"model_type": "llama",
"num_attention_heads": 12,
"num_hidden_layers": 2,
"num_key_value_heads": 12,
"pad_token_id": 1,
"pretraining_tp": 1,
"quantization_config": {
"bits": 4,
"damp_percent": 0.01,
"desc_act": false,
"group_size": 128,
"is_marlin_format": false,
"model_file_base_name": null,
"model_name_or_path": null,
"quant_method": "gptq",
"static_groups": false,
"sym": true,
"true_sequential": true
},
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.40.1",
"use_cache": true,
"vocab_size": 32000
}