mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-09-21 02:55:10 +02:00
296 lines
14 KiB
Markdown
296 lines
14 KiB
Markdown
# Text generation web UI
|
|
|
|
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
|
|
|
|
Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation.
|
|
|
|
|![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
|
|
|
|
* Dropdown menu for switching between models
|
|
* Notebook mode that resembles OpenAI's playground
|
|
* Chat mode for conversation and role playing
|
|
* Instruct mode compatible with Alpaca and Open Assistant formats **\*NEW!\***
|
|
* Nice HTML output for GPT-4chan
|
|
* Markdown output for [GALACTICA](https://github.com/paperswithcode/galai), including LaTeX rendering
|
|
* [Custom chat characters](https://github.com/oobabooga/text-generation-webui/wiki/Custom-chat-characters)
|
|
* Advanced chat features (send images, get audio responses with TTS)
|
|
* Very efficient text streaming
|
|
* Parameter presets
|
|
* 8-bit mode
|
|
* Layers splitting across GPU(s), CPU, and disk
|
|
* CPU mode
|
|
* [FlexGen](https://github.com/oobabooga/text-generation-webui/wiki/FlexGen)
|
|
* [DeepSpeed ZeRO-3](https://github.com/oobabooga/text-generation-webui/wiki/DeepSpeed)
|
|
* API [with](https://github.com/oobabooga/text-generation-webui/blob/main/api-example-stream.py) streaming and [without](https://github.com/oobabooga/text-generation-webui/blob/main/api-example.py) streaming
|
|
* [LLaMA model, including 4-bit GPTQ](https://github.com/oobabooga/text-generation-webui/wiki/LLaMA-model)
|
|
* [llama.cpp](https://github.com/oobabooga/text-generation-webui/wiki/llama.cpp-models) **\*NEW!\***
|
|
* [RWKV model](https://github.com/oobabooga/text-generation-webui/wiki/RWKV-model)
|
|
* [LoRA (loading and training)](https://github.com/oobabooga/text-generation-webui/wiki/Using-LoRAs)
|
|
* Softprompts
|
|
* [Extensions](https://github.com/oobabooga/text-generation-webui/wiki/Extensions)
|
|
|
|
## Installation
|
|
|
|
### One-click installers
|
|
|
|
[oobabooga-windows.zip](https://github.com/oobabooga/text-generation-webui/releases/download/installers/oobabooga-windows.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"
|
|
|
|
Source codes: https://github.com/oobabooga/one-click-installers
|
|
|
|
> **Note**
|
|
>
|
|
> Thanks to [@jllllll](https://github.com/jllllll) and [@ClayShoaf](https://github.com/ClayShoaf), the Windows 1-click installer now sets up 8-bit and 4-bit requirements out of the box. No additional installation steps are necessary.
|
|
|
|
> **Note**
|
|
>
|
|
> There is no need to run the installer as admin.
|
|
|
|
### Manual installation using Conda
|
|
|
|
Recommended if you have some experience with the command-line.
|
|
|
|
On Windows, I additionally recommend carrying out the installation on WSL instead of the base system: [WSL installation guide](https://github.com/oobabooga/text-generation-webui/wiki/WSL-installation-guide).
|
|
|
|
#### 0. Install Conda
|
|
|
|
https://docs.conda.io/en/latest/miniconda.html
|
|
|
|
On Linux or WSL, it can be automatically installed with these two commands:
|
|
|
|
```
|
|
curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
|
|
bash Miniconda3.sh
|
|
```
|
|
|
|
Source: https://educe-ubc.github.io/conda.html
|
|
|
|
#### 1. Create a new conda environment
|
|
|
|
```
|
|
conda create -n textgen python=3.10.9
|
|
conda activate textgen
|
|
```
|
|
|
|
#### 2. Install Pytorch
|
|
|
|
| System | GPU | Command |
|
|
|--------|---------|---------|
|
|
| Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio` |
|
|
| Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2` |
|
|
| MacOS + MPS (untested) | Any | `pip3 install torch torchvision torchaudio` |
|
|
|
|
The up to date commands can be found here: https://pytorch.org/get-started/locally/.
|
|
|
|
#### 2.1 Special instructions
|
|
|
|
* MacOS users: https://github.com/oobabooga/text-generation-webui/pull/393
|
|
* AMD users: https://rentry.org/eq3hg
|
|
|
|
#### 3. Install the web UI
|
|
|
|
```
|
|
git clone https://github.com/oobabooga/text-generation-webui
|
|
cd text-generation-webui
|
|
pip install -r requirements.txt
|
|
```
|
|
|
|
> **Note**
|
|
>
|
|
> For bitsandbytes and `--load-in-8bit` to work on Linux/WSL, this dirty fix is currently necessary: https://github.com/oobabooga/text-generation-webui/issues/400#issuecomment-1474876859
|
|
|
|
|
|
### Alternative: manual Windows installation
|
|
|
|
As an alternative to the recommended WSL method, you can install the web UI natively on Windows using this guide. It will be a lot harder and the performance may be slower: [Windows installation guide](https://github.com/oobabooga/text-generation-webui/wiki/Windows-installation-guide).
|
|
|
|
### Alternative: Docker
|
|
|
|
```
|
|
cp .env.example .env
|
|
docker compose up --build
|
|
```
|
|
|
|
Make sure to edit `.env.example` and set the appropriate CUDA version for your GPU.
|
|
|
|
You need to have docker compose v2.17 or higher installed in your system. For installation instructions, see [Docker compose installation](https://github.com/oobabooga/text-generation-webui/wiki/Docker-compose-installation).
|
|
|
|
Contributed by [@loeken](https://github.com/loeken) in [#633](https://github.com/oobabooga/text-generation-webui/pull/633)
|
|
|
|
### Updating the requirements
|
|
|
|
From time to time, the `requirements.txt` changes. To update, use this command:
|
|
|
|
```
|
|
conda activate textgen
|
|
cd text-generation-webui
|
|
pip install -r requirements.txt --upgrade
|
|
```
|
|
## Downloading models
|
|
|
|
Models should be placed inside the `models` folder.
|
|
|
|
[Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) is the main place to download models. These are some examples:
|
|
|
|
* [Pythia](https://huggingface.co/models?sort=downloads&search=eleutherai%2Fpythia+deduped)
|
|
* [OPT](https://huggingface.co/models?search=facebook/opt)
|
|
* [GALACTICA](https://huggingface.co/models?search=facebook/galactica)
|
|
* [GPT-J 6B](https://huggingface.co/EleutherAI/gpt-j-6B/tree/main)
|
|
|
|
You can automatically download a model from HF using the script `download-model.py`:
|
|
|
|
python download-model.py organization/model
|
|
|
|
For example:
|
|
|
|
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
|
|
cd text-generation-webui
|
|
python server.py
|
|
|
|
Then browse to
|
|
|
|
`http://localhost:7860/?__theme=dark`
|
|
|
|
Optionally, you can use the following command-line flags:
|
|
|
|
#### Basic settings
|
|
|
|
| Flag | Description |
|
|
|--------------------------------------------|-------------|
|
|
| `-h`, `--help` | Show this help message and exit. |
|
|
| `--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. |
|
|
| `--model MODEL` | Name of the model to load by default. |
|
|
| `--lora LORA` | Name of the LoRA to apply to the model by default. |
|
|
| `--model-dir MODEL_DIR` | Path to directory with all the models. |
|
|
| `--lora-dir LORA_DIR` | Path to directory with all the loras. |
|
|
| `--no-stream` | Don't stream the text output in real time. |
|
|
| `--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. |
|
|
| `--verbose` | Print the prompts to the terminal. |
|
|
|
|
#### Accelerate/transformers
|
|
|
|
| Flag | Description |
|
|
|---------------------------------------------|-------------|
|
|
| `--cpu` | Use the CPU to generate text. |
|
|
| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. |
|
|
| `--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. You can also set values in MiB like `--gpu-memory 3500MiB`. |
|
|
| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above.|
|
|
| `--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/`. |
|
|
| `--load-in-8bit` | Load the model with 8-bit precision.|
|
|
| `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
|
|
| `--no-cache` | Set `use_cache` to False while generating text. This reduces the VRAM usage a bit with a performance cost. |
|
|
|
|
#### llama.cpp
|
|
|
|
| Flag | Description |
|
|
|-------------|-------------|
|
|
| `--threads` | Number of threads to use in llama.cpp. |
|
|
|
|
#### GPTQ
|
|
|
|
| Flag | Description |
|
|
|---------------------------|-------------|
|
|
| `--wbits WBITS` | GPTQ: Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported. |
|
|
| `--model_type MODEL_TYPE` | GPTQ: Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported. |
|
|
| `--groupsize GROUPSIZE` | GPTQ: Group size. |
|
|
| `--pre_layer PRE_LAYER` | GPTQ: The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. |
|
|
|
|
#### FlexGen
|
|
|
|
| Flag | Description |
|
|
|------------------|-------------|
|
|
| `--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
|
|
|
|
| Flag | Description |
|
|
|---------------------------------------|-------------|
|
|
| `--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
|
|
|
|
| Flag | Description |
|
|
|---------------------------------|-------------|
|
|
| `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
|
|
| `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
|
|
|
|
#### Gradio
|
|
|
|
| Flag | Description |
|
|
|---------------------------------------|-------------|
|
|
| `--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. |
|
|
| `--auto-launch` | Open the web UI in the default browser upon launch. |
|
|
| `--gradio-auth-path GRADIO_AUTH_PATH` | Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3" |
|
|
|
|
Out of memory errors? [Check the low VRAM 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.
|
|
|
|
[Visualization](https://user-images.githubusercontent.com/112222186/228956352-1addbdb9-2456-465a-b51d-089f462cd385.png)
|
|
|
|
## 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:
|
|
|
|
1. Created a conda environment and installed the dependencies exactly as in the *Installation* section above.
|
|
2. [Searched](https://github.com/oobabooga/text-generation-webui/issues) to see if an issue already exists for the issue you encountered.
|
|
|
|
## Credits
|
|
|
|
- Gradio dropdown menu refresh button, code for reloading the interface: https://github.com/AUTOMATIC1111/stable-diffusion-webui
|
|
- Verbose preset: Anonymous 4chan user.
|
|
- NovelAI and KoboldAI presets: https://github.com/KoboldAI/KoboldAI-Client/wiki/Settings-Presets
|
|
- Code for early stopping in chat mode, code for some of the sliders: https://github.com/PygmalionAI/gradio-ui/
|