opt-125m-R-GPTQ / config.json
pigas's picture
Upload of AutoGPTQ quantized model
5ff2a7c verified
{
"_name_or_path": "facebook/opt-125m",
"_remove_final_layer_norm": false,
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"OPTForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 2,
"do_layer_norm_before": true,
"dropout": 0.1,
"enable_bias": true,
"eos_token_id": 2,
"ffn_dim": 3072,
"hidden_size": 768,
"init_std": 0.02,
"layer_norm_elementwise_affine": true,
"layerdrop": 0.0,
"max_position_embeddings": 2048,
"model_type": "opt",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"prefix": "</s>",
"quantization_config": {
"bits": 2,
"checkpoint_format": "gptq",
"damp_percent": 0.01,
"desc_act": false,
"group_size": -1,
"model_file_base_name": "gptq_model-2bit--1g",
"model_name_or_path": "opt-125m-4bit-1g",
"quant_method": "gptq",
"static_groups": false,
"sym": true,
"true_sequential": true
},
"torch_dtype": "float16",
"transformers_version": "4.40.2",
"use_cache": true,
"vocab_size": 50272,
"word_embed_proj_dim": 768
}