text-generation-webui

A gradio webui for running large language models locally. Supports gpt-j-6B, gpt-neox-20b, opt, galactica, and many others.

Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation.

Installation

Create a conda environment:

conda create -n textgen
conda activate textgen

Install the appropriate pytorch for your GPU. For NVIDIA GPUs, this should work:

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

Install the requirements:

pip install -r requirements.txt

Downloading models

Models should be placed under models/model-name.

Hugging Face

Hugging Face is the main place to download models. These are the most important ones in my opinion:

• gpt-j-6B
• gpt-neox-20b
• opt
• galactica
• *-Erebus

The files that you need to download and put under models/model-name (for instance, models/gpt-j-6B) are the json, txt, and pytorch*.bin files. The remaining files are not necessary.

GPT-4chan

GPT-4chan has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:

• Torrent: 16-bit / 32-bit
• Direct download: 16-bit / 32-bit

Converting to pytorch

This webui allows you to switch between different models on the fly, so it must be fast to load the models from disk.

One way to make this process about 10x faster is to convert the models to pytorch format using the script convert-to-torch.py. Create a folder called torch-dumps and then make the conversion with:

python convert-to-torch.py models/model-name/

The output model will be saved to torch-dumps/model-name.pt. This is the default way to load all models except for gpt-neox-20b, opt-13b, OPT-13B-Erebus, gpt-j-6B, and flan-t5. I don't remember why these models are exceptions.

If I get enough ⭐s on this repository, I will make the process of loading models saner and more customizable.

Starting the webui

conda activate textgen
python server.py

Then browse to http://localhost:7860/?__theme=dark

Contributing

Pull requests are welcome.