Deploy Tabby in Air-Gapped Environment with Docker
Are you working in an air-gapped environment, and wondering if you can still deploy Tabby? Fear not, because the answer is YES! 🐱📣
Prerequisite📋
- Docker installed on both the internet-connected computer and the offline computer.
Offline Deployment Guide🐾
Here's how we'll deploy Tabby in an offline environment:
- Create a Docker image on a computer with internet access.
- Transfer the image to your offline computer.
- Run the Docker image and let Tabby work its magic! ✨
Now, let's dive into the detailed steps:
- Create a new Dockerfile on a computer with internet access.
FROM tabbyml/tabby
ENV TABBY_MODEL_CACHE_ROOT=/models
RUN /opt/tabby/bin/tabby-cpu download --model StarCoder-1B
RUN /opt/tabby/bin/tabby-cpu download --model Nomic-Embed-Text
The TABBY_MODEL_CACHE_ROOT env var sets the directory for saving downloaded models. By setting ENV TABBY_MODEL_CACHE_ROOT=/models
, we instruct Tabby to save the downloaded model files in the /models
directory within the Docker container during the build process.
- Build the Docker image which containing the model
docker build -t tabby-offline .
- Save the Docker image to a tar file:
docker save -o tabby-offline.tar tabby-offline
- Copy the
tabby-offline.tar
file to the computer without internet access. - Load the Docker image from the tar file:
docker save -o tabby-offline.tar tabby-offline
- Run the Tabby container
docker run -it \
--gpus all -p 8080:8080 -v $HOME/.tabby:/data \
tabby-offline \
serve --model StarCoder-1B --device cuda
Once the container is running successfully, you should see the CLI output similar to the screenshot below:
If you encounter any further issues or have questions, consider join our slack community. Our friendly Tabby enthusiasts are always ready to lend a helping paw and guide you to the answers you seek! 😸💡
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