A compact vision-language model that handles both images and text with a practical, no-frills approach. It can describe images, answer visual questions, and extract information from documents and charts, though its 8B parameter size means it trades raw capability for accessibility and deployability. It runs on modest hardware compared to larger multimodal models, making it approachable for teams experimenting with vision tasks without heavy infrastructure.