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 ```shell git clone https://github.com/TigerResearch/TigerBot.git ``` - 启动infer代码 ```shell python infer.py --model_path TigerResearch/tigerbot-70b-base-v1 --model_type base ``` - 方法2: - 下载 TigerBot Repo ```shell 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 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 ```shell python infer.py --model_path tigerbot-70b-base-v1 --model_type base ``` ------ # Quick Start - Method 1, use through transformers - Clone TigerBot Repo ```shell git clone https://github.com/TigerResearch/TigerBot.git ``` - Run infer script ```shell python infer.py --model_path TigerResearch/tigerbot-70b-base-v1 --model_type base ``` - Method 2: - Clone TigerBot Repo ```shell git clone https://github.com/TigerResearch/TigerBot.git ``` - install git lfs： `git lfs install` - Download weights from huggingface or modelscope ```shell 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 ```shell python infer.py --model_path tigerbot-70b-base-v1 --model_type base ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TigerResearch__tigerbot-70b-base) | 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 |