A compact multimodal model from LiquidAI that handles both text and image inputs despite its small 1.6B parameter footprint. It trades raw capability for efficiency, making it suited to environments where memory and compute are constrained. Details about its specific strengths and limitations beyond basic vision-language tasks are limited.