A compact vision-language model that handles both text and image inputs, producing text outputs. At 4B parameters, it sits in the efficient end of the multimodal space, making it accessible for deployment without heavy compute. The MPO variant suggests preference optimization tuning, which typically sharpens instruction-following and response quality over a base model.