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zylarian/dockyard-tabby

By zylarian

•Updated 10 months ago

Image
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zylarian/dockyard-tabby repository overview

⁠Tabby for Dockyard

Self-hosted AI coding assistant. An open-source alternative to GitHub Copilot.

⁠Quick Start

make service tabby start

Access the interface at http://localhost:8100⁠

⁠Configuration

⁠Environment Variables
VariableDescriptionDefault
PORTExternal port8100
TABBY_MODELModel to useStarCoder-1B
TABBY_DEVICEDevice (cuda/cpu)cpu
⁠GPU Support

This service is configured to use CPU by default for maximum compatibility.

To enable GPU acceleration:

  1. Ensure you have NVIDIA Container Toolkit installed
  2. Create a .env file from .env.example
  3. Set TABBY_DEVICE=cuda
  4. Add the following to docker-compose.yml under the tabby service:
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    

⁠IDE Integration

  1. Install the Tabby plugin for VS Code or IntelliJ
  2. Set the endpoint to http://localhost:8100 (or your server IP)
  3. Set the authentication token (found in the logs or dashboard)

Tag summary

Content type

Image

Digest

sha256:16c5ca1e7…

Size

1.3 GB

Last updated

10 months ago

docker pull zylarian/dockyard-tabby