- Follow this guide to setup Docker
- If on Windows, download Docker Desktop to get the docker engine.
- Please also install Docker Compose for easy running. If not, there are scripts to set everything up.
Important
Currently, it seems like wsl does not like Nvidia Container Toolkit. It will work initially then reset it for some odd reason. For now, it is advised to use an actually Linux machine to run using Docker. If you do not care about utilizing your GPU or don't even have a Nvidia GPU then disregard this.
- Instructions can be found here in Steps to reproduce or below:
- Step 1. Configure the production repository on machine:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
- Step 2. Update the packages list from the repository:
sudo apt-get update
- Step 3. Install the Nvidia Container Toolkit:
sudo apt-get install -y nvidia-container-toolkit
Step 1.Configure the container runtime by using the nvidia-ctk
command:
sudo nvidia-ctk runtime configure --runtime=docker
The nvidia-ctk
command modifies the /etc/docker/daemon.json
file on the host. The file is updated so that Docker can use the NVIDIA Container Runtime.
Step 2. Restart the Docker daemon:
sudo systemctl restart docker
- Guide to installing Nvidia Container Toolkit
- GitHub repository for Nvidia Container Toolkit
- With the inclusion of subnets in the
docker-compose.yml
, you will need to set theSUBNET_ADDRESS
,OLLAMA_IP
,OLLAMA_PORT
, andDISCORD_IP
. Here are some default values if you don't care:OLLAMA_IP = 172.18.0.2
OLLAMA_PORT = 11434
DISCORD_IP = 172.18.0.3
SUBNET_ADDRESS = 172.18.0.0
- Don't understand any of this? watch a Networking video to understand subnetting.
- You also need all environment variables shown in
.env.sample
- Otherwise, there is no need to install any npm packages for this, you just need to run
npm run start
to pull the containers and spin them up. - For cleaning up on Linux (or Windows), run the following commands:
docker compose stop
docker compose rm
docker ps
to check if containers have been removed.- This may not work if the nvidia installation was done incorrectly. If this is the case, please utilize the Manual "Clean-up" shown below.
- You can also use
npm run clean
to clean up the containers and remove the network to address a possibleAddress already in use
problem. This script does not have to end without error to work.
- Run the following commands:
npm run docker:build
npm run docker:ollama
npm run docker:client
docker ps
to see if the containers are there!- Names should be discord and ollama.
- You can also just run
npm run docker:start
now for the above commands.
- Clean-up:
docker ps
for the conatiner id's. Use-a
flag as necessary.docker rm -f discord && docker rm -f ollama
to remove the containers.docker rm -f CONTAINER_ID
do for both containers if naming issues arise.
docker network rm ollama-net
removes the network.docker network prune
will also work so long as the network is unused.
- Remove Image:
- If you need to remove the image run
docker image rm IMAGE_ID
. You can get the image id by runningdocker images
.
- If you need to remove the image run