sylvianhemus / text-generation-webui

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

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.

Features

• Switch between different models using a dropdown menu.
• Generate nice HTML output for gpt4chan.
• Generate Markdown output for GALACTICA, including LaTeX support.
• Notebook mode that resembles OpenAI's playground.
• Chat mode for conversation and role playing.
• Load 13b/20b models in 8-bit mode.
• Load parameter presets from text files.

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. For instance, models/gpt-j-6B for gpt-j-6B.

Hugging Face

Hugging Face is the main place to download models. These are some of my favorite:

• gpt-j-6B
• gpt-neox-20b
• OPT
• GALACTICA
• *-Erebus

The files that you need to download are the json, txt, and pytorch*.bin files. The remaining files are not necessary.

For your convenience, you can automatically download a model from HF using the script download-model.py. Its usage is very simple:

python download-model.py organization/model

For instance:

python download-model.py facebook/opt-1.3b

gpt4chan

gpt4chan 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

You also need to put GPT-J-6B's config.json file in the same folder: config.json

Converting to pytorch

The script convert-to-torch.py allows you to convert models to .pt format, which is about 10x faster to load:

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

The output model will be saved to torch-dumps/model-name.pt. When you load a new model, the webui first looks for this .pt file; if it is not found, it loads the model as usual from models/model-name/.

Starting the webui

conda activate textgen
python server.py

Then browse to

http://localhost:7860/?__theme=dark

Optionally, you can use the following command-line flags:

--model model-name: Load this model by default.

--notebook: Launch the webui in notebook mode, where the output is written to the same text box as the input.

--chat: Launch the webui in chat mode.

Presets

Inference settings presets can be created under presets/ as text files. These files are detected automatically at startup.

Contributing

Pull requests are welcome.