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AutoGPTQ model for Alibaba-NLP/gte-Qwen2-1.5B-instruct: 8bits, gr128, desc_act=True
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{
"_name_or_path": "Alibaba-NLP/gte-Qwen2-1.5B-instruct",
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"auto_map": {
"AutoModel": "Alibaba-NLP/gte-Qwen2-1.5B-instruct--modeling_qwen.Qwen2Model",
"AutoModelForCausalLM": "Alibaba-NLP/gte-Qwen2-1.5B-instruct--modeling_qwen.Qwen2ForCausalLM",
"AutoModelForSequenceClassification": "Alibaba-NLP/gte-Qwen2-1.5B-instruct--modeling_qwen.Qwen2ForSequenceClassification"
},
"bos_token_id": 151643,
"eos_token_id": 151643,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"max_position_embeddings": 131072,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"quantization_config": {
"bits": 8,
"damp_percent": 0.01,
"desc_act": true,
"group_size": 128,
"is_marlin_format": false,
"model_file_base_name": null,
"model_name_or_path": null,
"quant_method": "gptq",
"static_groups": false,
"sym": true,
"true_sequential": true
},
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.44.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151646
}