The secret lies in their architecture. Instead of trying to be generalists, these models employ specialized techniques like 448×448 pixel tiling for image processing, allowing them to maintain high accuracy while keeping computational requirements modest. They’re trained on carefully curated datasets – 17.2 million examples for the 2B version and 19 million for the 0.8B model – focusing on quality over quantity.