A compact vision-language model that handles both text and image inputs within a generous 128k token context window. It runs as an FP8 dynamically quantized variant, meaning it trades a small amount of numerical precision for reduced memory footprint and faster inference — a practical compromise for deployment on constrained hardware. Conversational and visual reasoning tasks are its domain, though its 7B parameter scale sets natural limits on complexity.