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README.md
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This is a 4-bit
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It was quantized to 4bit using: https://github.com/
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## How to download and use this model in github: https://github.com/TigerResearch/TigerBot
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Inference with command line interface
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infer with
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```
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#
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CUDA_VISIBLE_DEVICES=0 python other_infer/exllama_infer.py --model_path TigerResearch/tigerbot-70b-chat-4bit
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```
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infer with auto-gptq
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```
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# 安装auto-gptq
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pip install auto-gptq
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#
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CUDA_VISIBLE_DEVICES=0 python other_infer/
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```
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This is a 4-bit EXL2 version of the [tigerbot-70b-chat-v2](https://huggingface.co/TigerResearch/tigerbot-70b-chat-v2).
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It was quantized to 4bit using: https://github.com/turboderp/exllamav2
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## How to download and use this model in github: https://github.com/TigerResearch/TigerBot
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Inference with command line interface
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infer with exllamav2
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```
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# install exllamav2
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git clone https://github.com/turboderp/exllamav2
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cd exllamav2
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pip install -r requirements.txt
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# infer command
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CUDA_VISIBLE_DEVICES=0 python other_infer/exllamav2_hf_infer.py --model_path TigerResearch/tigerbot-70b-chat-v2-4bit-exl2
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```
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