Yi-34B-GPTQ / config.json
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GPTQ model commit
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{
"_name_or_path": "/workspace/process/01-ai_yi-34b/source",
"architectures": [
"YiForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_yi.YiConfig",
"AutoModel": "modeling_yi.YiModel",
"AutoModelForCausalLM": "modeling_yi.YiForCausalLM"
},
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 7168,
"initializer_range": 0.02,
"intermediate_size": 20480,
"max_position_embeddings": 4096,
"model_type": "Yi",
"num_attention_heads": 56,
"num_hidden_layers": 60,
"num_key_value_heads": 8,
"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": -1,
"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": true,
"use_exllama": false
},
"rms_norm_eps": 1e-05,
"rope_theta": 5000000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.35.0",
"use_cache": true,
"vocab_size": 64000
}