- Download this repository .zip:
- Extract contents into a folder.
- Install/run application by double clicking on
webui.bat
file from Windows Explorer as normal user.
- Install git.
- Open Terminal/PowerShell and navigate to a folder you want to clone this repository.
git clone https://github.com/nomic-ai/gpt4all-ui.git
- Install/run application by double clicking on
webui.bat
file from Windows explorer as normal user.
- Make sure you have installed
curl
. It is needed for the one-liner to work.
Debian-based:
sudo apt install curl
Red Hat-based:
sudo dnf install curl
Arch-based:
sudo pacman -S curl
- Open terminal/console copy and paste this command and press enter:
mkdir -p ~/gpt4all-ui && curl -L https://raw.githubusercontent.com/nomic-ai/gpt4all-ui/main/webui.sh -o ~/gpt4all-ui/webui.sh && chmod +x ~/gpt4all-ui/webui.sh && cd ~/gpt4all-ui && ./webui.sh
Note
This command creates new directory
/gpt4all-ui/
in your /home/ direcory, downloads a file webui.sh, makes file executable and executes webui.sh that downloads and installs everything that is needed.
- Follow instructions on screen until it launches webui.
- To relaunch application:
bash webui.sh
- Download this repository .zip:
- Extract contents into a folder.
- Install/run application from terminal/console:
bash webui.sh
- Open terminal/console and install dependencies:
Debian-based:
sudo apt install curl git python3 python3-venv
Red Hat-based:
sudo dnf install curl git python3
Arch-based:
sudo pacman -S curl git python3
- Clone repository:
git clone https://github.com/nomic-ai/gpt4all-ui.git
cd gpt4all-ui
- Install/run application:
bash ./webui.sh
- Open terminal/console and install
brew
:
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
- Install dependencies:
brew install git python3
- Clone repository:
git clone https://github.com/nomic-ai/gpt4all-ui.git
cd gpt4all-ui
- Install/run application:
bash ./webui.sh
On Linux/MacOS, if you have issues, refer to the details presented here These scripts will create a Python virtual environment and install the required dependencies. It will also download the models and install them.