import noInternetImg from './no-internet.png';

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.

docker

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

bash

docker build -t tabby-offline .

Save the Docker image to a tar file:

bash

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:

bash

docker load -i tabby-offline.tar

Run the Tabby container

bash

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! 😸💡