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| $ mkdir -p ~/.docker/cli-plugins && docker pull docker/docker-model-cli-desktop-module:v0.1.24 && docker create --name extractor docker/docker-model-cli-desktop-module:v0.1.24 nop && docker export extractor > _extract.tmp.tar && tar -xOf _extract.tmp.tar cli-plugins/model/linux/docker-model > ~/.docker/cli-plugins/docker-model && chmod +x ~/.docker/cli-plugins/docker-model && rm _extract.tmp.tar && docker rm extractor && docker rmi docker/docker-model-cli-desktop-module:v0.1.24 | |
| $ docker model run ai/llama3.2 | |
| _MODEL_RUNNER_TREAT_DESKTOP_AS_MOBY=1 |
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Note
These instructions should work for any Debian-derived distribution.
Configure the production repository:
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
Optionally, configure the repository to use experimental packages:
sed -i -e '/experimental/ s/^#//g' /etc/apt/sources.list.d/nvidia-container-toolkit.list
Update the packages list from the repository:
sudo apt-get update
Install the NVIDIA Container Toolkit packages:
sudo apt-get install -y nvidia-container-toolkit