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--- |
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license: apache-2.0 |
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language: |
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- zh |
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- en |
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--- |
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<div style="width: 100%;"> |
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<p align="center" width="20%"> |
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<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" width="20%", style="display: block; margin: auto;"></img> |
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</p> |
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</div> |
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<p align="center"> |
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<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font> |
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</p> |
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<p align="center"> |
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💻<a href="https://github.com/TigerResearch/TigerBot" target="_blank">Github</a> • 🌐 <a href="https://tigerbot.com/" target="_blank">TigerBot</a> • 🤗 <a href="https://huggingface.co./TigerResearch" target="_blank">Hugging Face</a> |
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</p> |
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# 快速开始 |
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- 方法1,通过transformers使用 |
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- 下载 TigerBot Repo |
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```shell |
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git clone https://github.com/TigerResearch/TigerBot.git |
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``` |
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- 启动infer代码 |
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```shell |
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python infer.py --model_path TigerResearch/tigerbot-13b-base-v2 --model_type base |
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``` |
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- 方法2: |
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- 下载 TigerBot Repo |
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```shell |
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git clone https://github.com/TigerResearch/TigerBot.git |
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``` |
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- 安装git lfs: `git lfs install` |
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- 通过huggingface或modelscope平台下载权重 |
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```shell |
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git clone https://huggingface.co./TigerResearch/tigerbot-13b-base-v2 |
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git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git |
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``` |
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- 启动infer代码 |
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```shell |
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python infer.py --model_path tigerbot-13b-base-v2 --model_type base --max_generate_length 64 |
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``` |
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------ |
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# Quick Start |
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- Method 1, use through transformers |
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- Clone TigerBot Repo |
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```shell |
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git clone https://github.com/TigerResearch/TigerBot.git |
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``` |
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- Run infer script |
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```shell |
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python infer.py --model_path TigerResearch/tigerbot-13b-base-v2 --model_type base |
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``` |
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- Method 2: |
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- Clone TigerBot Repo |
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```shell |
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git clone https://github.com/TigerResearch/TigerBot.git |
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``` |
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- install git lfs: `git lfs install` |
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- Download weights from huggingface or modelscope |
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```shell |
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git clone https://huggingface.co./TigerResearch/tigerbot-13b-base-v2 |
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git clone https://www.modelscope.cn/TigerResearch/tigerbot-13b-base-v2.git |
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``` |
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- Run infer script |
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```shell |
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python infer.py --model_path tigerbot-13b-base-v2 --model_type base --max_generate_length 64 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_TigerResearch__tigerbot-13b-base) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 52.11 | |
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| ARC (25-shot) | 53.84 | |
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| HellaSwag (10-shot) | 77.05 | |
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| MMLU (5-shot) | 53.57 | |
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| TruthfulQA (0-shot) | 44.06 | |
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| Winogrande (5-shot) | 74.98 | |
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| GSM8K (5-shot) | 17.06 | |
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| DROP (3-shot) | 44.21 | |
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