Sponsors

We welcome financial support for the project from sponsors, investors, and funding organizations.

Call for sponsorship and investments

tinybig is an open-source project developed and maintained by a small team at IFM Lab. As an academic research team, we rely on financial funding, investments, and support to cover research costs, hire new team members, and purchase equipment for the project.

How to support

Interested investors and sponsors may contact Jiawei Zhang via email.

How it started

The tinybig library is developed and implemented by Jiawei Zhang at IFM Lab as a side research project for model evaluations in the RPN 1 paper and RPN 2 paper.

Through extensive experimental investigations, we discovered the potential of tinybig as a general framework to unify diverse machine learning and deep learning models. This motivated us to develop and release this library as a public package.

Future plans

tinybig is an on-going research project. RPN v3.0 is currently in development, aiming to further improve the current RPN model in terms of effectiveness, efficiency, and learning algorithms.

After testing and evaluating these new methods, modules, and models, we will gradually incorporate them into the tinybig library. Mature models developed from the tinybig projects will be commercialized and published subsequently.

We estimate that RPN v3.0 and tinybig v0.3.0 will be released before the mid of 2025.