EVEv2

represents a significant advancement in encoder-free vision-language models (VLMs), addressing limitations of previous approaches by introducing a "Divide-and-Conquer" architecture that maximizes scaling efficiency, reduces inter-modality interference, and achieves strong performance with superior data efficiency.