metadata
license: apache-2.0
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-7b-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-7b-base git clone https://www.modelscope.cn/TigerResearch/tigerbot-7b-base-v3.git
启动infer代码
python infer.py --model_path tigerbot-7b-base(-v3) --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-7b-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-7b-base git clone https://www.modelscope.cn/TigerResearch/tigerbot-7b-base-v3.git
Run infer script
python infer.py --model_path tigerbot-7b-base(-v3) --model_type base --max_generate_length 64
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 41.99 |
ARC (25-shot) | 47.7 |
HellaSwag (10-shot) | 72.08 |
MMLU (5-shot) | 45.11 |
TruthfulQA (0-shot) | 42.27 |
Winogrande (5-shot) | 69.61 |
GSM8K (5-shot) | 10.84 |
DROP (3-shot) | 6.3 |