A compact, locally-deployable multimodal model that handles both text and image inputs, packaged in FP4 quantization to keep memory footprint small. The quantization trade-off means reduced precision compared to full-weight variants, which can show up in nuanced reasoning tasks. It runs on-device without cloud dependencies, making it suited for privacy-conscious or offline workflows.