Nanbeige-16B-Chat-GPTQ / config.json
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GPTQ model commit
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{
"_name_or_path": "/workspace/process/nanbeige_nanbeige-16b-chat/source",
"architectures": [
"NanbeigeForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_nanbeige.NanbeigeConfig",
"AutoModelForCausalLM": "modeling_nanbeige.NanbeigeForCausalLM"
},
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 5120,
"initializer_range": 0.02,
"intermediate_size": 13824,
"max_length": 4096,
"max_position_embeddings": 4096,
"model_type": "nanbeige",
"num_attention_heads": 40,
"num_hidden_layers": 48,
"pad_token_id": 0,
"pretraining_tp": 1,
"quantization_config": {
"batch_size": 1,
"bits": 4,
"block_name_to_quantize": "model.layers",
"cache_block_outputs": true,
"damp_percent": 0.1,
"desc_act": true,
"exllama_config": {
"version": 1
},
"group_size": 32,
"max_input_length": null,
"model_seqlen": 4096,
"module_name_preceding_first_block": [
"model.embed_tokens"
],
"pad_token_id": null,
"quant_method": "gptq",
"sym": true,
"tokenizer": null,
"true_sequential": true,
"use_cuda_fp16": false,
"use_exllama": true
},
"rms_norm_eps": 1e-05,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 59136,
"yarn_scale": 1.0
}