A cutting-edge foundation for your very own LLM.
🌐 TigerBot • 🤗 Hugging Face
This is a 4-bit GPTQ version of the 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"
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