A compact multimodal model that punches above its weight by activating only 3B parameters out of 35B total — a mixture-of-experts design that keeps inference costs low while handling both text and image inputs. It processes visual and textual information together without requiring separate pipelines. The sparse activation pattern means it can offer larger model capacity without the full computational burden.