Update the installation instructions. Tldr use WSL

This commit is contained in:
oobabooga 2023-03-17 18:51:07 -03:00 committed by GitHub
parent 9256e937d6
commit 4426f941e0
WARNING! Although there is a key with this ID in the database it does not verify this commit! This commit is SUSPICIOUS.
GPG key ID: 4AEE18F83AFDEB23

View file

@ -34,39 +34,45 @@ 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
#### 1. Create a new conda environment
```
conda create -n textgen
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.
### Alternative: native Windows installation
* If you have an AMD GPU, replace the third command with this one:
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).
```
pip3 install torch torchvision=0.14.1 torchaudio=0.13.1 --extra-index-url https://download.pytorch.org/whl/rocm5.2
```
* 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)
@ -77,6 +83,10 @@ 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.
## 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).