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Meng Zhang 22b8669898
refactor(webserver): return owned instance of service in ServiceLocator (#1165)
* refactor(webserver): extract owned_auth so router could relies on AuthenticationService directly

* fix

* update

* update

* update
2024-01-05 20:09:09 +08:00
.github chore(release): build openssl statically in manylinux2014 build (#1115) 2023-12-26 13:01:47 +08:00
ci feat: support build tabby on windows (#948) 2023-12-11 12:14:49 +08:00
clients chore(intellij): bump intellij plugin version 1.2.0. (#1157) 2024-01-03 17:19:22 +08:00
crates fix(webserver): support resolve all types of repos (#1145) 2024-01-01 16:10:21 +00:00
ee refactor(webserver): return owned instance of service in ServiceLocator (#1165) 2024-01-05 20:09:09 +08:00
experimental feat: add an experimental supervisor (#630) 2023-10-27 12:46:08 -07:00
python feat(loadtest): add loadtest tools (#906) 2023-11-28 14:34:00 +08:00
website docs: extract Collapse react component for easier collapsable (#1124) 2023-12-27 17:20:02 +08:00
.dockerignore feat: Add rocm builds and documentation (#1012) 2023-12-13 15:59:04 +08:00
.gitattributes chore: exclude ee/tabby-webserver/ui to language stats 2023-11-17 15:50:27 -08:00
.gitignore feat(experimental): use modal for easier evaluation. (#594) 2023-10-18 23:33:27 -07:00
.gitmodules refactor: use llama.cpp tokenizer (#683) 2023-10-31 22:16:09 +00:00
.rustfmt.toml refactor: rust nightly format (#197) 2023-06-05 14:17:07 -07:00
Cargo.lock refactor(db): extract ee/tabby-db (#1141) 2023-12-29 17:20:36 +08:00
Cargo.toml refactor(db): extract ee/tabby-db (#1141) 2023-12-29 17:20:36 +08:00
CHANGELOG.md feat(core): add TABBY_MODEL_CACHE_ROOT to allow individually set tabb… (#1121) 2023-12-26 07:38:53 +00:00
Dockerfile feat: Add rocm builds and documentation (#1012) 2023-12-13 15:59:04 +08:00
LICENSE docs: remove boilerplate section 2023-10-29 16:21:53 -07:00
Makefile feat(loadtest): add loadtest tools (#906) 2023-11-28 14:34:00 +08:00
MODEL_SPEC.md docs: remove 0.5.0 warning as tabby adapt same format for remote / local storage 2023-11-17 11:43:16 -08:00
package.json refactor(agent): agent http request and cancellation flow. (#446) 2023-09-15 11:05:46 +08:00
README.md docs: newsletter link update + README (#1120) 2023-12-26 15:09:04 +08:00
yarn.lock fix(agent): fix agent creating empty log file at silent log level. (#1077) 2023-12-19 13:07:18 +08:00

🐾 Tabby

latest release PRs Welcome Docker pulls

Slack Community Office Hours

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.

Open in Playground

Demo

🔥 What's New

Archived
  • 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.
  • 10/04/2023 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.

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

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

Start Hacking!

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

🌍 Community

  • #️⃣ Slack - connect with the TabbyML 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

🌟 Star History

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