File size: 1,312 Bytes
84bd1ab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
{
"_name_or_path": "/cpfs01/user/chenmengzhao/efficientqat_repo/efficientqat_checkpoints_original/Llama-3-8b-EfficientQAT-w2g64",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128001,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"quantization_config": {
"bits": 2,
"checkpoint_format": "bitblas",
"damp_percent": 0.01,
"desc_act": false,
"group_size": 64,
"lm_head": false,
"meta": {
"quantizer": "gptqmodel:0.9.9-dev0"
},
"model_file_base_name": null,
"model_name_or_path": "/cpfs01/user/chenmengzhao/efficientqat_repo/efficientqat_checkpoints_original/Llama-3-8b-EfficientQAT-w2g64",
"quant_method": "gptq",
"static_groups": false,
"sym": false,
"true_sequential": true
},
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.42.4",
"use_cache": false,
"vocab_size": 128256
}
|