A project explores training a small model to prove difficult theorems and presents details about its training, datasets, and implementation.
QED-Nano is described as a project to teach a 4-billion-parameter model to prove difficult theorems, including olympiad problems. The post presents information about training, datasets, and implementation, and points readers to a collection and the project code.
The material may interest people researching smaller models and mathematical reasoning. When studying or adapting these resources with AI, protect organizational data: do not include personal or confidential information without authorization, and use public or anonymized examples where possible. The project does not show that Rota Nacional solves the technical challenges of training models for proofs.