metadata
license: apache-2.0
A cutting-edge foundation for your very own LLM.
🌐 TigerBot • 🤗 Hugging Face
This is a 4-bit GPTQ version of the Tigerbot 70b chat v2.
It was quantized to 4bit using: https://github.com/PanQiWei/AutoGPTQ
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
infer with exllama
# 安装exllama_lib
pip install exllama_lib@git+https://github.com/taprosoft/exllama.git
# 启动推理
CUDA_VISIBLE_DEVICES=0 python other_infer/exllama_infer.py --model_path TigerResearch/tigerbot-70b-chat-4bit
infer with auto-gptq
# 安装auto-gptq
pip install auto-gptq
# 启动推理
CUDA_VISIBLE_DEVICES=0 python other_infer/gptq_infer.py --model_path TigerResearch/tigerbot-70b-chat-4bit