A compact vision-language model that bridges image understanding with text generation, built on Vicuna's conversational foundation. It can describe images, answer visual questions, and reason about visual content, though its 7B parameter size means it trades raw capability for accessibility and deployability. Runs locally on modest hardware, making visual AI approachable without cloud dependencies.