mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-29 19:09:32 +01:00
193 lines
11 KiB
Markdown
193 lines
11 KiB
Markdown
# Text generation web UI
|
|
|
|
A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, GPT-Neo, and Pygmalion.
|
|
|
|
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)
|
|
|
|
| |  |
|
|
|:---:|:---:|
|
|
| |  |
|
|
|
|
## 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 or TavernAI Character Card formats ([FAQ](https://github.com/oobabooga/text-generation-webui/wiki/Pygmalion-chat-model-FAQ)).
|
|
* Advanced chat features (send images, get audio responses with TTS).
|
|
* Stream the text output in real time.
|
|
* Load parameter presets from text files.
|
|
* Load large models in 8-bit mode (see [here](https://github.com/oobabooga/text-generation-webui/issues/147#issuecomment-1456040134), [here](https://github.com/oobabooga/text-generation-webui/issues/20#issuecomment-1411650652) and [here](https://www.reddit.com/r/PygmalionAI/comments/1115gom/running_pygmalion_6b_with_8gb_of_vram/) if you are on Windows).
|
|
* Split large models across your GPU(s), CPU, and disk.
|
|
* CPU mode.
|
|
* [FlexGen offload](https://github.com/oobabooga/text-generation-webui/wiki/FlexGen).
|
|
* [DeepSpeed ZeRO-3 offload](https://github.com/oobabooga/text-generation-webui/wiki/DeepSpeed).
|
|
* [Get responses via API](https://github.com/oobabooga/text-generation-webui/blob/main/api-example.py).
|
|
* Supports softprompts.
|
|
* [Supports extensions](https://github.com/oobabooga/text-generation-webui/wiki/Extensions).
|
|
* [Works on Google Colab](https://github.com/oobabooga/text-generation-webui/wiki/Running-on-Colab).
|
|
|
|
## Installation option 1: conda
|
|
|
|
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 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, replace the third command with this one:
|
|
|
|
```
|
|
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2
|
|
```
|
|
|
|
* If you are running in CPU mode, replace the third command with this one:
|
|
|
|
```
|
|
conda install pytorch torchvision torchaudio git -c pytorch
|
|
```
|
|
|
|
## Installation option 2: one-click installers
|
|
|
|
[oobabooga-windows.zip](https://github.com/oobabooga/text-generation-webui/releases/download/installers/oobabooga-windows.zip)
|
|
|
|
[oobabooga-linux.zip](https://github.com/oobabooga/text-generation-webui/releases/download/installers/oobabooga-linux.zip)
|
|
|
|
Just download the zip above, extract it, and double click on "install". The web UI and all its dependencies will be installed in the same folder.
|
|
|
|
* To download a model, double click on "download-model"
|
|
* To start the web UI, double click on "start-webui"
|
|
|
|
## 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)
|
|
* [Pythia](https://huggingface.co/models?search=eleutherai/pythia)
|
|
* [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`:
|
|
|
|
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 (or model*.safetensors) 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's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):
|
|
|
|
```
|
|
python download-model.py EleutherAI/gpt-j-6B --text-only
|
|
```
|
|
|
|
## 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_me.png` or `img_me.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.|
|
|
| `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
|
|
| `--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 [GPU_MEMORY ...]` | Maxmimum GPU memory in GiB to be allocated per GPU. Example: `--gpu-memory 10` for a single GPU, `--gpu-memory 10 5` for two GPUs. |
|
|
| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99.|
|
|
| `--flexgen` | Enable the use of FlexGen offloading. |
|
|
| `--percent PERCENT [PERCENT ...]` | FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). |
|
|
| `--compress-weight` | FlexGen: Whether to compress weight (default: False).|
|
|
| `--pin-weight [PIN_WEIGHT]` | FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). |
|
|
| `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
|
|
| `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
|
|
| `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
|
|
| `--rwkv-strategy RWKV_STRATEGY` | The strategy to use while loading RWKV models. Examples: `"cpu fp32"`, `"cuda fp16"`, `"cuda fp16 *30 -> cpu fp32"`. |
|
|
| `--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. If you create a file called `settings.json`, this file will be loaded by default without the need to use the `--settings` flag.|
|
|
| `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
|
|
| `--listen` | Make the web UI reachable from your local network.|
|
|
| `--listen-port LISTEN_PORT` | The listening port that the server will use. |
|
|
| `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
|
|
| `--verbose` | Print the prompts to the terminal. |
|
|
|
|
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.
|
|
|
|
Before reporting a bug, make sure that you have created a conda environment and installed the dependencies exactly as in the *Installation* section above.
|
|
|
|
These issues are known:
|
|
|
|
* 8-bit doesn't work properly on Windows or older GPUs.
|
|
* DeepSpeed doesn't work properly on Windows.
|
|
|
|
For these two, please try commenting on an existing issue instead of creating a new one.
|
|
|
|
## Credits
|
|
|
|
- NovelAI and KoboldAI presets: https://github.com/KoboldAI/KoboldAI-Client/wiki/Settings-Presets
|
|
- Pygmalion preset, code for early stopping in chat mode, code for some of the sliders, --chat mode colors: https://github.com/PygmalionAI/gradio-ui/
|
|
- Verbose preset: Anonymous 4chan user.
|
|
- Instruct-Joi preset: https://huggingface.co/Rallio67/joi_12B_instruct_alpha
|
|
- Gradio dropdown menu refresh button: https://github.com/AUTOMATIC1111/stable-diffusion-webui
|