This project is a comprehensive framework and toolkit for developing, optimizing, and deploying transformer-based models across multimodal, document intelligence, and natural language processing tasks. It provides a unified neural architecture that processes text, vision, audio, and document layout data through a shared set of weights, enabling researchers and developers to build foundational models that align cross-modal representations. The platform distinguishes itself through advanced training and inference strategies designed for large-scale deep learning. It incorporates specialized mec
Our servers break again :(. I have updated the links so that they should work fine now. Sorry for the inconvenience. Please let me for any further issues. Thanks! --Hao, Dec 03
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models