A large-scale vision-language model that handles both text and images with notable depth. It can parse complex visual scenes, read documents, interpret charts, and reason about spatial relationships with more consistency than smaller counterparts. At 72B parameters it demands serious hardware, and inference is slow without dedicated infrastructure.