A compact multimodal model that handles both text and image inputs, quantized to FP8 dynamic precision for reduced memory footprint. Its small 4B parameter count makes it accessible on modest hardware, though this comes with the usual trade-offs in reasoning depth compared to larger variants. The FP8 dynamic quantization means slightly reduced numerical precision in exchange for faster inference and lower VRAM requirements.