🐾 Tabby

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features:

• Self-contained, with no need for a DBMS or cloud service.
• OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE).
• Supports consumer-grade GPUs.

🔥 What's New

• 04/22/2024 v0.10.0 released, featuring the latest Reports tab with team-wise analytics for Tabby usage.
• 04/19/2024 📣 Tabby now incorporates locally relevant snippets(declarations from local LSP, and recently modified code) for code completion!
• 04/17/2024 CodeGemma and CodeQwen model series have now been added to the official registry!

Archived

• 03/20/2024 v0.9 released, highlighting a full feature admin UI.
• 12/23/2023 Seamlessly deploy Tabby on any cloud with SkyServe 🛫 from SkyPilot.
• 12/15/2023 v0.7.0 released with team management and secured access!
• 10/15/2023 RAG-based code completion is enabled by detail in v0.3.0🎉! Check out the blogpost explaining how Tabby utilizes repo-level context to get even smarter!
• 11/27/2023 v0.6.0 released!
• 11/09/2023 v0.5.5 released! With a redesign of UI + performance improvement.
• 10/24/2023 ⛳️ Major updates for Tabby IDE plugins across VSCode/Vim/IntelliJ!
• 10/04/2023 Check out the model directory for the latest models supported by Tabby.
• 09/18/2023 Apple's M1/M2 Metal inference support has landed in v0.1.1!
• 08/31/2023 Tabby's first stable release v0.0.1 🥳.
• 08/28/2023 Experimental support for the CodeLlama 7B.
• 08/24/2023 Tabby is now on JetBrains Marketplace!

👋 Getting Started

You can find our documentation here.

• 📚 Installation
• 💻 IDE/Editor Extensions
• ⚙️ Configuration

Run Tabby in 1 Minute

The easiest way to start a Tabby server is by using the following Docker command:

docker run -it \
  --gpus all -p 8080:8080 -v $HOME/.tabby:/data \
  tabbyml/tabby \
  serve --model TabbyML/StarCoder-1B --device cuda

For additional options (e.g inference type, parallelism), please refer to the documentation page.

🤝 Contributing

Full guide at CONTRIBUTING.md;

Get the Code

git clone --recurse-submodules https://github.com/TabbyML/tabby
cd tabby

If you have already cloned the repository, you could run the git submodule update --recursive --init command to fetch all submodules.

Build

1. Set up the Rust environment by following this tutorial.

2. Install the required dependencies:

# For MacOS
brew install protobuf

# For Ubuntu / Debian
apt-get install protobuf-compiler libopenblas-dev

3. Now, you can build Tabby by running the command cargo build.

Start Hacking!

... and don't forget to submit a Pull Request

🌍 Community

• 🎤 Twitter / X - engage with TabbyML for all things possible
• 📚 LinkedIn - follow for the latest from the community
• 💌 Newsletter - subscribe to unlock Tabby insights and secrets

🔆 Activity

🌟 Star History