| models | ||
| presets | ||
| convert-to-torch.py | ||
| download-model.py | ||
| html_generator.py | ||
| LICENSE | ||
| README.md | ||
| requirements.txt | ||
| server.py | ||
| webui.png | ||
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 GPT-4chan.
- 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.
- CPU mode.
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:
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
GPT-4chan
GPT-4chan has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
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.
--cpu: Use the CPU to generate text instead of the GPU.
Presets
Inference settings presets can be created under presets/ as text files. These files are detected automatically at startup.
Contributing
Pull requests, suggestions and issue reports are welcome.
Other projects
Make sure to also check out the great work by KoboldAI. I have borrowed some of the presets listed on their wiki after performing a k-means clustering analysis to select the most relevant subsample.