A compact vision-language model that bridges image understanding and text generation. It can describe scenes, answer questions about images, and reason over visual content, though its 7B parameter size means it occasionally struggles with fine-grained detail or complex multi-step visual reasoning. Built on Mistral's architecture, it tends to be more coherent and instruction-following than earlier LLaVA versions.