<p align="center"> <font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font> </p> <p align="center"> 💻<a href="https://github.com/TigerResearch/TigerBot" target="_blank">Github</a> • 🌐 <a href="https://tigerbot.com/" target="_blank">TigerBot</a> • 🤗 <a href="https://huggingface.co/TigerResearch" target="_blank">Hugging Face</a> </p>
快速开始
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方法1,通过transformers使用
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下载 TigerBot Repo
git clone https://github.com/TigerResearch/TigerBot.git
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启动infer代码
python infer.py --model_path TigerResearch/tigerbot-13b-base
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方法2:
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下载 TigerBot Repo
git clone https://github.com/TigerResearch/TigerBot.git
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安装git lfs:
git lfs install
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通过huggingface或modelscope平台下载权重
git clone https://huggingface.co/TigerResearch/tigerbot-13b-base git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git
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启动infer代码
python infer.py --model_path tigerbot-13b-base(-v2) --model_type base --max_generate_length 64
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Quick Start
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Method 1, use through transformers
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Clone TigerBot Repo
git clone https://github.com/TigerResearch/TigerBot.git
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Run infer script
python infer.py --model_path TigerResearch/tigerbot-13b-base
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Method 2:
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Clone TigerBot Repo
git clone https://github.com/TigerResearch/TigerBot.git
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install git lfs:
git lfs install
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Download weights from huggingface or modelscope
git clone https://huggingface.co/TigerResearch/tigerbot-13b-base git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git
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Run infer script
python infer.py --model_path tigerbot-13b-base(-v2) --model_type base --max_generate_length 64
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