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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-13b-base-v2 --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-13b-base-v2
      git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git
      
    • 启动infer代码

      python infer.py --model_path tigerbot-13b-base-v2 --model_type base --max_generate_length 64
      

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-13b-base-v2 --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-13b-base-v2
      git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git
      
    • Run infer script

      python infer.py --model_path tigerbot-13b-base-v2 --model_type base --max_generate_length 64
      

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 52.11
ARC (25-shot) 53.84
HellaSwag (10-shot) 77.05
MMLU (5-shot) 53.57
TruthfulQA (0-shot) 44.06
Winogrande (5-shot) 74.98
GSM8K (5-shot) 17.06
DROP (3-shot) 44.21