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Upload of AutoGPTQ quantized model
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{
"_name_or_path": "EleutherAI/pythia-1b",
"architectures": [
"GPTNeoXForCausalLM"
],
"attention_bias": true,
"attention_dropout": 0.0,
"bos_token_id": 0,
"classifier_dropout": 0.1,
"eos_token_id": 0,
"hidden_act": "gelu",
"hidden_dropout": 0.0,
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 8192,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 2048,
"model_type": "gpt_neox",
"num_attention_heads": 8,
"num_hidden_layers": 16,
"quantization_config": {
"bits": 4,
"damp_percent": 0.01,
"desc_act": false,
"group_size": 128,
"is_marlin_format": false,
"model_file_base_name": "gptq_model-4bit-128g",
"model_name_or_path": "EleutherAI/pythia-1b-4bit-128g",
"quant_method": "gptq",
"static_groups": false,
"sym": true,
"true_sequential": true
},
"rope_scaling": null,
"rotary_emb_base": 10000,
"rotary_pct": 0.25,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.38.2",
"use_cache": true,
"use_parallel_residual": true,
"vocab_size": 50304
}