tigerbot-13b-base-v2 – AI Model by TigerResearch | AlphaNeural AI

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TigerResearch/
tigerbot-13b-base-v2

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text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

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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
  
  shell
  1git clone https://huggingface.co/TigerResearch/tigerbot-13b-base-v2 2git 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:

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