What is Tabby
Tabby is a self-hostedAI Programming Assistantprovides developers with an alternative to open source and on-premises deployment, supporting GitHub Copilot-like functionality by leveraging third-party open source code models (such as StarCoder, CodeLlama, DeepseekCoder). Tabby’s design goal is to help developers improve programming efficiency and experience by providing code suggestions, auto-completion and other programming-related accessibility features.
GitHub address:https://github.com/TabbyML/tabby
Tabby’s main functions
- Automatic code completion: Tabby can automatically complete lines of code based on the context, providing a complete recommendation for single-line code or entire functions, thereby reducing typing and speeding up coding.
- Code suggestions: When writing code, Tabby can provide relevant code snippet suggestions to help developers quickly implement specific functions or structures.
- Multi-line code generation: Tabby can not only complete single-line code, but also generate multi-line code snippets, including loops, conditional statements, function definitions, etc.
- Function and class generation: Tabby can suggest or automatically generate the structure of the entire function or class, including parameters, return types, and method implementations.
- Error detection and correction: Tabby can identify potential errors in the code and provide correction suggestions to help developers maintain code quality.
- Code optimization: Tabby is able to provide code optimization suggestions based on best practices to help developers write more efficient and elegant code.
- Language and framework support: Tabby supports multiple programming languages (such as Python, JavaScript) and frameworks, allowing them to adapt to the needs of different developers.
- Compatible with IDE plug-ins: Tabby provides plug-ins compatible with popular IDEs such as Visual Studio Code and IntelliJ, allowing developers to directly use Tabby’s features in their familiar development environments.
- Self-hosted and customized: Since Tabby is self-hosted, users can configure and run Tabby servers according to their needs and security standards.
- OpenAPI interface: Tabby provides an OpenAPI interface, allowing other applications and services to easily integrate with Tabby to extend its capabilities.
Big models supported by Tabby
- Code completion model： Starcoder-1b 、 Starcoder-3b 、 Starcoder-7b 、 Codellama-7b 、 Codellama-13b 、 DeepEpeekcoder-1.3B 、 DeepEPEKODER-6.7B
- Dialogue Model： Wizardcoder-3B 、 Mistral-7B
