Tabby: FREE Self-hosted POWERFUL AI coding Assistant! Create Software, Code Completion, and more!

In a world where GitHub's paid CoPilot is taking the center stage, there's a growing demand for open-source alternatives that provide the same cutting-edge capabilities without the price tag. Enter Tabby, a self-hosted AI coding assistant that offers a compelling alternative to GitHub's CoPilot.

Not only does Tabby offer a new alternative, but it also brings a host of essential features such as self-contained simplicity, an open API integration, integration with other open-source models, and GPU support for better performance.

This isn't your regular AI coding assistant. Tabby stands out by allowing the creation of diverse apps and models, aiding in code completion, and much more. An illustrative blog post showcases how developers have leveraged a large language model pre-trained on coding data for self-contained coding tasks. The retrieval-augmented code completion tool is a standout feature, utilizing code snippets to provide context and enhance code suggestions.

Below, we delve into what you can do with Tabby, showcase its capabilities, guide you through the installation process, and explore the playground feature accessible via web hosting.

Essential Features

Self-contained Simplicity: Easy to deploy and use.
Open API Integration: Connects with various API services.
Integration with Other Open Source Models: Enhancements by connecting with industry-standard open-source models.
GPU Support: Enhanced performance for demanding tasks.

Capabilities

Tabby is more than just an AI coding assistant. It helps in:

Code completion.
Creating diverse apps and models.
Leveraging advanced code snippets for context.

Example Demonstrations

A GIF example demonstrates Tabby's capability to complete two different coding tasks:

Testing if a number is prime.
Finding the maximum element in an array.

Using Tabby, these tasks are significantly streamlined by pressing "Tab" for autocomplete, saving time and reducing complexity.

Playground Feature

Tabby provides a playground feature where users can type and generate code directly via the web. It's user-friendly and designed to offer real-time suggestions, enhancing productivity.

Installation Guide

There are multiple ways to install Tabby:

Docker/Docker Compose
Homebrew
Hugging Face Spaces
Modal Feature

Additionally, you can integrate Tabby with various IDEs such as Visual Studio Code, Neovim, and IntellJ. Here’s a quick guide for installing on VS Code:

Open Visual Studio Code.
Navigate to the extensions tab.
Search for Tabby and click install.

Model Configuration

Tabby supports various models based on your system specs. Here's a quick reference:

Small models (<400M): Suitable for CPU devices.
Medium models (1B-7B): Requires Nvidia T4, 10 series, or 20 series GPUs.
Large models (7B-13B): Advisable to use Nvidia V100, A100, 30 series, or 40 series GPUs.

FAQs

What are the GPU requirements for Tabby?
- A minimum of 8GB VRAM is required for handling code llama 7 Billion parameter models.
Can I use multiple Nvidia GPUs with Tabby?
- Yes, multiple GPUs can help improve performance.
Which languages are supported?
- Rust, Python, JavaScript, Typescript, GoLang, Rubies, and more.
How do I convert my own model for Tabby?
- Instructions are available on the Tabby documentation page.

Roadmap

Tabby’s development is ongoing with planned improvements including:

Deeper integration with Tree Sitter for improved retrieval-augmented generation.
Support for Apple’s M1 and M2 GPUs.
Enhanced documentation and tutorials.

Happy coding with Tabby, your new AI assistant designed to streamline your development process and ideas!

Keywords

Open-source alternative
Tabby
AI Coding Assistant
Self-hosted
Code Completion
GPU Support
Integration with IDEs
Retrieval-augmented generation
Visual Studio Code

FAQ

What are the GPU requirements for Tabby?

A minimum of 8GB VRAM is required for handling code llama 7 Billion parameter models.

Can I use multiple Nvidia GPUs with Tabby?

Yes, multiple GPUs can help improve performance.

Which languages are supported?

Rust, Python, JavaScript, Typescript, GoLang, Rubies, and more.

How do I convert my own model for Tabby?

Instructions are available on the Tabby documentation page.

Is there an easy way for installation in IDEs like Visual Studio Code?

Yes, you can install it via the extensions tab in Visual Studio Code by searching for Tabby.