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--- |
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license: apache-2.0 |
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--- |
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<div style="width: 100%;"> |
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<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" style="width: 20%; display: block; margin: auto;"> |
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</div> |
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<p align="center"> |
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<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font> |
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</p> |
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<p align="center"> |
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🌐 <a href="https://tigerbot.com/" target="_blank">TigerBot</a> • 🤗 <a href="https://huggingface.co/TigerResearch" target="_blank">Hugging Face</a> |
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</p> |
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This is a 4-bit GPTQ version of the [Tigerbot 70b chat v2](https://huggingface.co/TigerResearch/tigerbot-70b-chat). |
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It was quantized to 4bit using: https://github.com/PanQiWei/AutoGPTQ |
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## How to download and use this model in github: https://github.com/TigerResearch/TigerBot |
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Here are commands to clone the TigerBot and install. |
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``` |
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conda create --name tigerbot python=3.8 |
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conda activate tigerbot |
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conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia |
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git clone https://github.com/TigerResearch/TigerBot |
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cd TigerBot |
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pip install -r requirements.txt |
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``` |
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Inference with command line interface |
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infer with exllama |
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``` |
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# 安装exllama_lib |
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pip install exllama_lib@git+https://github.com/taprosoft/exllama.git |
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# 启动推理 |
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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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# 启动推理 |
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CUDA_VISIBLE_DEVICES=0 python other_infer/gptq_infer.py --model_path TigerResearch/tigerbot-70b-chat-4bit |
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``` |
