A compact vision-language model that handles both text and image inputs, producing text outputs. It runs in an open-weight format using NVFP4 quantization, which reduces memory footprint while aiming to preserve capability — a practical trade-off for deployment on constrained hardware. Its 12B parameter scale puts it in a middle tier: more capable than smaller models but less resource-hungry than larger ones.