Edit model card
TigerBot

A cutting-edge foundation for your very own LLM.

🌐 TigerBot • 🤗 Hugging Face

This is a 4-bit EXL2 version of the tigerbot-70b-chat-v4-4k.

It was quantized to 4bit using: https://github.com/turboderp/exllamav2

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 exllamav2

# install exllamav2
git clone https://github.com/turboderp/exllamav2
cd exllamav2
pip install -r requirements.txt

# infer command
CUDA_VISIBLE_DEVICES=0 python other_infer/exllamav2_hf_infer.py --model_path TigerResearch/tigerbot-70b-chat-v4-4bit-exl2
Downloads last month
9
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.