Spaces:
Running
A newer version of the Gradio SDK is available:
4.36.1
Docker Compose is a way of installing and launching the web UI in an isolated Ubuntu image using only a few commands.
Installing Docker Compose
In order to create the image as described in the main README, you must have Docker Compose installed (2.17 or higher is recommended):
~$ docker compose version
Docker Compose version v2.21.0
The installation instructions for various Linux distributions can be found here:
https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository
Launching the image
Use these commands to launch the image:
cd text-generation-webui
ln -s docker/{nvidia/Dockerfile,docker-compose.yml,.dockerignore} .
cp docker/.env.example .env
# Edit .env and set TORCH_CUDA_ARCH_LIST based on your GPU model
docker compose up --build
More detailed installation instructions
By @loeken.
Ubuntu 22.04
0. youtube video
A video walking you through the setup can be found here:
1. update the drivers
in the the “software updater” update drivers to the last version of the prop driver.
2. reboot
to switch using to new driver
3. install docker
sudo apt update
sudo apt-get install curl
sudo mkdir -m 0755 -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo \
"deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
"$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin docker-compose -y
sudo usermod -aG docker $USER
newgrp docker
4. docker & container toolkit
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://nvidia.github.io/libnvidia-container/stable/ubuntu22.04/amd64 /" | \
sudo tee /etc/apt/sources.list.d/nvidia.list > /dev/null
sudo apt update
sudo apt install nvidia-docker2 nvidia-container-runtime -y
sudo systemctl restart docker
5. clone the repo
git clone https://github.com/oobabooga/text-generation-webui
cd text-generation-webui
6. prepare models
download and place the models inside the models folder. tested with:
4bit https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483891617 https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483941105
8bit: https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1484235789
7. prepare .env file
edit .env values to your needs.
cp .env.example .env
nano .env
8. startup docker container
docker compose up --build
Manjaro
manjaro/arch is similar to ubuntu just the dependency installation is more convenient
update the drivers
sudo mhwd -a pci nonfree 0300
reboot
reboot
docker & container toolkit
yay -S docker docker-compose buildkit gcc nvidia-docker
sudo usermod -aG docker $USER
newgrp docker
sudo systemctl restart docker # required by nvidia-container-runtime
continue with ubuntu task
continue at 5. clone the repo
Windows
0. youtube video
A video walking you through the setup can be found here:
1. choco package manager
install package manager (https://chocolatey.org/ )
Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))
2. install drivers/dependencies
choco install nvidia-display-driver cuda git docker-desktop
3. install wsl
wsl --install
4. reboot
after reboot enter username/password in wsl
5. git clone && startup
clone the repo and edit .env values to your needs.
cd Desktop
git clone https://github.com/oobabooga/text-generation-webui
cd text-generation-webui
COPY .env.example .env
notepad .env
6. prepare models
download and place the models inside the models folder. tested with:
4bit https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483891617 https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1483941105
8bit: https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1484235789
7. startup
docker compose up
notes
on older ubuntus you can manually install the docker compose plugin like this:
DOCKER_CONFIG=${DOCKER_CONFIG:-$HOME/.docker}
mkdir -p $DOCKER_CONFIG/cli-plugins
curl -SL https://github.com/docker/compose/releases/download/v2.17.2/docker-compose-linux-x86_64 -o $DOCKER_CONFIG/cli-plugins/docker-compose
chmod +x $DOCKER_CONFIG/cli-plugins/docker-compose
export PATH="$HOME/.docker/cli-plugins:$PATH"
Dedicated docker repository
An external repository maintains a docker wrapper for this project as well as several pre-configured 'one-click' docker compose variants (e.g., updated branches of GPTQ). It can be found at: Atinoda/text-generation-webui-docker.