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AutoGPTQ model for mistralai/Mistral-7B-v0.3: 4 bits, gr128, desc_act=True
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{
"_name_or_path": "Mistral-7B-v0.3-GPTQ-4bit-g0",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"quantization_config": {
"bits": 4,
"checkpoint_format": "gptq",
"desc_act": true,
"dynamic": null,
"group_size": 128,
"lm_head": false,
"meta": {
"damp_auto_increment": 0.0025,
"damp_percent": 0.01,
"mse": 0.0,
"quantizer": [
"gptqmodel:1.8.0-dev"
],
"static_groups": false,
"true_sequential": true,
"uri": "https://github.com/modelcloud/gptqmodel"
},
"pack_dtype": "int32",
"quant_method": "gptq",
"sym": true
},
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.47.1",
"use_cache": true,
"vocab_size": 32768
}