A compact multimodal model that punches at its weight class by tightly coupling visual and language understanding. It uses a structurally aligned approach to image tokenization, meaning it treats visual inputs more like language tokens rather than bolting vision on as an afterthought. At 3B parameters, it handles image-text reasoning with reasonable coherence, though complex visual scenes or nuanced document understanding may stretch its limits.