A compact multimodal model that punches above its weight for its size, handling both text and image inputs with reasonable competence. At 1.6B parameters, it makes deliberate trade-offs — capable enough for lightweight vision-language tasks but will struggle with complex reasoning or nuanced understanding that larger models handle more gracefully. Its LFM architecture distinguishes it from standard transformer designs.