A cutting-edge foundation for your very own LLM.
🌐 TigerBot • 🤗 Hugging Face
This is a 4-bit GPTQ version of the [tigerbot-180b-research](https://huggingface.co/TigerResearch/tigerbot-180b-research). It was quantized to 4bit using: https://github.com/TigerResearch/TigerBot/tree/main/gptq ## How to download and use this model in github: https://github.com/TigerResearch/TigerBot Here are commands to clone the TigerBot and install. ``` conda create --name tigerbot python=3.8 conda activate tigerbot conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia git clone https://github.com/TigerResearch/TigerBot cd TigerBot pip install -r requirements.txt ``` Inference with command line interface ``` cd TigerBot/gptq CUDA_VISIBLE_DEVICES=0,1 python tigerbot_infer.py ${MODEL_DIR} --wbits 4 --groupsize 128 --load "{MODEL_DIR}/tigerbot-4bit-128g-*.pt" ```