tigerbot-70b-base-v1

<div style="width: 100%;"> <p align="center" width="20%"> <img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" width="20%", style="display: block; margin: auto;"></img> </p> </div> <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

• 方法1，通过transformers使用

  • 下载 TigerBot Repo

    git clone https://github.com/TigerResearch/TigerBot.git
    

  • 启动infer代码

    python infer.py --model_path TigerResearch/tigerbot-70b-base-v1 --model_type base
    

• 方法2:

  • 下载 TigerBot Repo

    git clone https://github.com/TigerResearch/TigerBot.git
    

  • 安装git lfs： git lfs install

  • 通过huggingface或modelscope平台下载权重

    git clone https://huggingface.co/TigerResearch/tigerbot-70b-base-v1
    git clone https://www.modelscope.cn/TigerResearch/tigerbot-70b-base-v1.git
    

  • 启动infer代码

    python infer.py --model_path tigerbot-70b-base-v1 --model_type base
    

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Quick Start

• Method 1, use through transformers

  • Clone TigerBot Repo

    git clone https://github.com/TigerResearch/TigerBot.git
    

  • Run infer script

    python infer.py --model_path TigerResearch/tigerbot-70b-base-v1 --model_type base
    

• Method 2:

  • Clone TigerBot Repo

    git clone https://github.com/TigerResearch/TigerBot.git
    

  • install git lfs： git lfs install

  • Download weights from huggingface or modelscope

    git clone https://huggingface.co/TigerResearch/tigerbot-70b-base-v1
    git clone https://www.modelscope.cn/TigerResearch/tigerbot-70b-base-v1.git
    

  • Run infer script

    python infer.py --model_path tigerbot-70b-base-v1 --model_type base
    

Open LLM Leaderboard Evaluation Results

Detailed results can be found here