Community
Support
Get help and connect with the Twinkle community. We welcome contributions, questions, and feedback.
Documentation
- View the Twinkle Documentation
- Read the Quick Start Guide
Source Code
- Twinkle on GitHub — Star the repo and follow development
- Cookbook Examples
Bug Reports & Feature Requests
- Open an Issue — Report bugs or request new features
- Pull Requests — Contribute code, fixes, or documentation
Discussions
- Join the GitHub Discussions — Ask questions, share ideas, and connect with other users
News
Stay up-to-date with the latest Twinkle releases and features:
- Subscribe to the Twinkle Blog
- Watch the GitHub Repository for release notifications
ModelScope Ecosystem
Twinkle is part of the ModelScope open-source ecosystem, building AI infrastructure for the community. Related projects include:
- ms-swift — Efficient fine-tuning framework
- Transformers — Model framework
Contributors
Twinkle✨ is designed, developed, and maintained by an Open Workshop composed of members from various open-source technology teams. We welcome more developers passionate about large model training to join us in building and improving this framework.
The core members of the workshop currently come from:
- ModelScope Open Source Community Project Team
- China Merchants Bank Open Source Technology Team
- Technical staff from various compute hardware teams
We are grateful to the open-source community, particularly the projects that inspired us, including Transformers, MS-SWIFT, veRL, Tinker, and many others.
We welcome open contributions via Issues and Pull Requests.
Further Resources
- Ray Documentation — The distributed computing framework
- PyTorch Documentation — The deep learning framework
- PEFT Documentation — Parameter-Efficient Fine-Tuning