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@ -21,7 +21,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
* 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).
* Load large models in 8-bit mode.
* Split large models across your GPU(s), CPU, and disk.
* CPU mode.
* [FlexGen offload](https://github.com/oobabooga/text-generation-webui/wiki/FlexGen).
@ -34,39 +34,56 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
* [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
## 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):
The recommended installation methods are the following:
* Linux and MacOS: using conda natively.
* Windows: using conda on WSL ([WSL installation guide](https://github.com/oobabooga/text-generation-webui/wiki/Windows-Subsystem-for-Linux-(Ubuntu)-Installation-Guide)).
Conda can be downloaded here: https://docs.conda.io/en/latest/miniconda.html
On Linux or WSL, it can be installed with these two commands:
```
conda create -n textgen
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
conda install torchvision=0.14.1 torchaudio=0.13.1 pytorch-cuda=11.7 git -c pytorch -c nvidia
```
#### 2. Install Pytorch
| System | GPU | Command |
|--------|---------|---------|
| Linux/WSL | NVIDIA | `conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia` |
| Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2` |
| MacOS + MPS (untested) | Any | `conda install pytorch torchvision torchaudio -c pytorch` |
The up to date commands can be found here: https://pytorch.org/get-started/locally/
#### 3. Install the web UI
```
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 experience bitsandbytes issues on WSL while trying to use `--load-in-8bit`, see this thread: https://github.com/microsoft/WSL/issues/5548#issuecomment-1292858815
* If you have an AMD GPU, replace the third command with this one:
### Alternative: native Windows installation
```
pip3 install torch torchvision=0.14.1 torchaudio=0.13.1 --extra-index-url https://download.pytorch.org/whl/rocm5.2
```
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: [Installation instructions for human beings](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings).
* If you are running it in CPU mode, replace the third command with this one:
```
conda install pytorch torchvision=0.14.1 torchaudio=0.13.1 git -c pytorch
```
> **Note**
> 1. If you are on Windows, it may be easier to run the commands above in a WSL environment. The performance may also be better. A full guide can be found here: [Windows Subsystem for Linux (Ubuntu) Installation Guide
](https://github.com/oobabooga/text-generation-webui/wiki/Windows-Subsystem-for-Linux-(Ubuntu)-Installation-Guide).
> 2. For a more detailed, user-contributed guide, see: [Installation instructions for human beings](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings).
## Installation option 2: one-click installers
### Alternative: one-click installers
[oobabooga-windows.zip](https://github.com/oobabooga/one-click-installers/archive/refs/heads/oobabooga-windows.zip)
@ -77,19 +94,25 @@ Just download the zip above, extract it, and double click on "install". The web
* 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
This method lags behind the newest developments and does not support 8-bit mode on Windows without additional set up: https://github.com/oobabooga/text-generation-webui/issues/147#issuecomment-1456040134, https://github.com/oobabooga/text-generation-webui/issues/20#issuecomment-1411650652
### Alternative: Docker
https://github.com/oobabooga/text-generation-webui/issues/174, https://github.com/oobabooga/text-generation-webui/issues/87
## 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
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 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)
* [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)
* [\*-Erebus](https://huggingface.co/models?search=erebus) (NSFW)
* [Pygmalion](https://huggingface.co/models?search=pygmalion) (NSFW)
@ -103,7 +126,7 @@ For instance:
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
[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: