# Text generation web UI A gradio web UI for running large language models like gpt-j-6B, gpt-neo, opt, galactica, and pygmalion on your own computer. Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation. [[Try it on Google Colab]](https://colab.research.google.com/github/oobabooga/AI-Notebooks/blob/main/Colab-TextGen-GPU.ipynb) -> Updated on January 24th, responses are 100x better now <- [[full discussion]](https://github.com/oobabooga/text-generation-webui/issues/14) |![Image1](https://github.com/oobabooga/screenshots/raw/main/qa.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/cai3.png) | |:---:|:---:| |![Image3](https://github.com/oobabooga/screenshots/raw/main/gpt4chan.png) | ![Image4](https://github.com/oobabooga/screenshots/raw/main/galactica.png) | ## Features * Switch between different models using a dropdown menu. * Notebook mode that resembles OpenAI's playground. * Chat mode for conversation and role playing. * Generate nice HTML output for GPT-4chan. * Generate Markdown output for [GALACTICA](https://github.com/paperswithcode/galai), including LaTeX support. * Support for [Pygmalion](https://huggingface.co/models?search=pygmalionai/pygmalion) and custom characters in JSON format ([see the FAQ](https://github.com/oobabooga/text-generation-webui/wiki/Pygmalion-chat-model-FAQ)). * Stream the text output in real time. * Load parameter presets from text files. * Load large models in 8-bit mode. * Split large models across your GPU(s), CPU, and disk. * CPU mode. * Get responses via API. * Works on Google Colab ([see the full guide](https://github.com/oobabooga/text-generation-webui/wiki/Running-on-Colab)). ## Installation Open a terminal and copy and paste these commands one at a time ([install conda](https://docs.conda.io/en/latest/miniconda.html) first if you don't have it already): ``` conda create -n textgen conda activate textgen conda install pytorch torchvision torchaudio pytorch-cuda=11.7 git -c pytorch -c nvidia git clone https://github.com/oobabooga/text-generation-webui cd text-generation-webui pip install -r requirements.txt ``` The third line assumes that you have an NVIDIA GPU. * If you have an AMD GPU, you should install the ROCm version of pytorch instead. * If you are running in CPU mode, you just need the standard pytorch and should replace the third command with this one: ``` conda install pytorch torchvision torchaudio git -c pytorch ``` Once you have completed these steps, you should be able to start the web UI. However, you will first need to download a model. ## Downloading models Models should be placed under `models/model-name`. For instance, `models/gpt-j-6B` for [GPT-J 6B](https://huggingface.co/EleutherAI/gpt-j-6B/tree/main). #### Hugging Face [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) is the main place to download models. These are some noteworthy examples: * [GPT-J 6B](https://huggingface.co/EleutherAI/gpt-j-6B/tree/main) * [GPT-Neo](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads&search=eleutherai+%2F+gpt-neo) * [OPT](https://huggingface.co/models?search=facebook/opt) * [GALACTICA](https://huggingface.co/models?search=facebook/galactica) * [\*-Erebus](https://huggingface.co/models?search=erebus) * [Pygmalion](https://huggingface.co/models?search=pygmalion) 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 If you want to download a model manually, note that all you need are the json, txt, and pytorch\*.bin files. The remaining files are not necessary. #### GPT-4chan [GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options: * Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model) * Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/) The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version. After downloading the model, follow these steps: 1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`. 2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json). 3. Download GPT-J 6B under `models/gpt-j-6B`: ``` python download-model.py EleutherAI/gpt-j-6B ``` You don't really need all of GPT-J 6B's files, just the tokenizer files, but you might as well download the whole thing. Those files will be automatically detected when you attempt to load GPT-4chan. #### Converting to pytorch (optional) The script `convert-to-torch.py` allows you to convert models to .pt format, which is sometimes 10x faster to load to the GPU: 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 web UI first looks for this .pt file; if it is not found, it loads the model as usual from `models/model-name`. ## Starting the web UI conda activate textgen python server.py Then browse to `http://localhost:7860/?__theme=dark` Optionally, you can use the following command-line flags: | Flag | Description | |-------------|-------------| | `-h`, `--help` | show this help message and exit | | `--model MODEL` | Name of the model to load by default. | | `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. | | `--chat` | Launch the web UI in chat mode.| | `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file img-bot.png or img-bot.jpg exists in the same folder as server.py, this image will be used as the bot's profile picture. Similarly, img-you.png or img-you.jpg will be used as your profile picture. | | `--cpu` | Use the CPU to generate text.| | `--load-in-8bit` | Load the model with 8-bit precision.| | `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.| | `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. | | `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. | | `--gpu-memory GPU_MEMORY` | Maximum GPU memory in GiB to allocate. This is useful if you get out of memory errors while trying to generate text. Must be an integer number. | | `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99.| | `--no-stream` | Don't stream the text output in real time. This improves the text generation performance.| | `--settings SETTINGS_FILE` | Load the default interface settings from this json file. See `settings-template.json` for an example.| | `--listen` | Make the web UI reachable from your local network.| | `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. | Out of memory errors? [Check this guide](https://github.com/oobabooga/text-generation-webui/wiki/Low-VRAM-guide). ## Presets Inference settings presets can be created under `presets/` as text files. These files are detected automatically at startup. By default, 10 presets by NovelAI and KoboldAI are included. These were selected out of a sample of 43 presets after applying a K-Means clustering algorithm and selecting the elements closest to the average of each cluster. ## System requirements Check the [wiki](https://github.com/oobabooga/text-generation-webui/wiki/System-requirements) for some examples of VRAM and RAM usage in both GPU and CPU mode. ## Contributing Pull requests, suggestions, and issue reports are welcome. ## Credits - NovelAI and KoboldAI presets: https://github.com/KoboldAI/KoboldAI-Client/wiki/Settings-Presets - Pygmalion preset, code for early stopping in chat mode: https://github.com/PygmalionAI/gradio-ui/ - Verbose preset: Anonymous 4chan user. - Gradio dropdown menu refresh button: https://github.com/AUTOMATIC1111/stable-diffusion-webui