Qwen-72B-Chat-Int8 / config.json
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{
"architectures": [
"QWenLMHeadModel"
],
"auto_map": {
"AutoConfig": "configuration_qwen.QWenConfig",
"AutoModelForCausalLM": "modeling_qwen.QWenLMHeadModel"
},
"attn_dropout_prob": 0.0,
"bf16": false,
"emb_dropout_prob": 0.0,
"fp16": true,
"fp32": false,
"hidden_size": 8192,
"intermediate_size": 49152,
"initializer_range": 0.02,
"kv_channels": 128,
"layer_norm_epsilon": 1e-06,
"max_position_embeddings": 32768,
"model_type": "qwen",
"no_bias": true,
"num_attention_heads": 64,
"num_hidden_layers": 80,
"onnx_safe": null,
"quantization_config": {
"bits": 8,
"group_size": 128,
"damp_percent": 0.01,
"desc_act": false,
"static_groups": false,
"sym": true,
"true_sequential": true,
"model_name_or_path": null,
"model_file_base_name": "model",
"quant_method": "gptq"
},
"rope_theta": 1000000,
"rotary_emb_base": 1000000,
"rotary_pct": 1.0,
"scale_attn_weights": true,
"seq_length": 32768,
"tie_word_embeddings": false,
"tokenizer_class": "QWenTokenizer",
"transformers_version": "4.32.0",
"use_cache": true,
"use_dynamic_ntk": false,
"use_flash_attn": "auto",
"use_logn_attn": false,
"vocab_size": 152064
}