The dataset comprises the architectures and weights of FAMA—a scalable, foundational Astronomical Masked Autoencoder for astronomical image analysis—as well as the neural networks for several downstream tasks. Furthermore, the dataset includes test data for evaluating model performance across various applications, including photometric redshift estimation, galaxy morphological classification, and strong lensing detection.