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metadata
license: apache-2.0
language:
  - zh
  - en

TigerBot

A cutting-edge foundation for your very own LLM.

💻Github • 🌐 TigerBot • 🤗 Hugging Face

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
      

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

Metric Value
Avg. 62.1
ARC (25-shot) 62.46
HellaSwag (10-shot) 83.61
MMLU (5-shot) 65.49
TruthfulQA (0-shot) 52.76
Winogrande (5-shot) 80.19
GSM8K (5-shot) 37.76
DROP (3-shot) 52.45