Contributing to Tiny Labs: Guidelines, Recognition, and Community

Tag: General · Dec 10, 2024

Why Contribute?

At Tiny Labs, we believe that every idea matters. Whether you’re proposing a new pre-processing step, a quality filter, a training tweak, or a major architectural overhaul, your contribution can make a real impact. We value creativity, rigor, and collaboration—and we reward contributors for both big and small improvements.

How to Contribute

Propose an Experiment: Open a GitHub issue describing your idea. Be as clear and specific as possible.
Discuss & Refine: Collaborate with the community to refine your proposal and get feedback.
Implement: Make your changes via configuration or code (pull request).
Evaluation: Your experiment will be tested against benchmarks and, if selected, merged into the main model.
Recognition & Rewards: Earn badges, stats, leaderboard rankings, and financial rewards based on your impact.

Evaluation & Recognition

Contributions are evaluated not just by absolute performance gains, but by their relative impact: how much an experiment improves the model compared to its scope and complexity. This allows even small, targeted changes to be fairly credited alongside larger overhauls. Each contributor’s impact is tracked across key areas of model development—such as data curation, architecture design, and optimization—building a transparent record of influence over time.

Community Values

We are committed to openness, rigor, and collaboration. Our monthly technical report highlights key findings and progress, with all contributing members listed as co-authors—providing formal recognition and a citation-worthy record of participation. The reputation system connects emerging talent to academic labs, sponsors, and hiring teams—creating a new kind of research CV grounded in open collaboration and real-world contributions.

Get Started

Ready to make your mark? Join our community, propose your first experiment, and help us build the future of efficient, accessible AI—together.