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🐾 Tabby

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

<p align="center"> <a target="_blank" href="https://tabby.tabbyml.com"><img alt="Open Live Demo" src="https://img.shields.io/badge/OPEN_LIVE_DEMO-blue?logo=xcode&style=for-the-badge&logoColor=green"></a> </p> <p align="center"> <img alt="Demo" src="https://user-images.githubusercontent.com/388154/230440226-9bc01d05-9f57-478b-b04d-81184eba14ca.gif"> </p>

🔥 What's New

<details> <summary>Archived</summary> </details>

👋 Getting Started

You can find our documentation here.

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 StarCoder-1B --device cuda --chat-model Qwen2-1.5B-Instruct

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 install protobuf-compiler libopenblas-dev
  1. Install useful tools:
# For Ubuntu
apt install make sqlite3 graphviz
  1. Now, you can build Tabby by running the command cargo build.

Start Hacking!

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

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