The company claims that Tabby can be customized without any code modifications, and its models, which have between one and three billion parameters, can run on a desktop computer with a consumer-grade graphics card. The tool is distributed as a downloadable Docker container and does not require an internet connection to function. Since its release in late August, Tabby has received over 11,000 stars on GitHub, indicating significant developer adoption.
Key takeaways:
- TabbyML, a startup with an AI productivity tool for developers, has raised $3.2 million in seed funding from Yunqi Partners and ZooCap.
- The company's AI tool, Tabby, allows developers to generate code using natural language prompts and is positioned as an open-source alternative to Microsoft Corp.’s GitHub Copilot service.
- Tabby can be customized without any code modifications and its AI models are compact enough to run on a desktop computer equipped with a consumer-grade graphics card.
- Since its release in late August, Tabby has received more than 11,000 stars on GitHub, indicating significant developer adoption.