A compact reasoning model that punches above its weight class by thinking through problems step-by-step before answering. It handles both text and images, making it versatile for visual question-answering tasks. At 2B parameters, it trades raw breadth for focused, deliberate reasoning — expect careful outputs but narrower general knowledge than larger models.