Fully multimodal on the input side: The same model can take in text, images, audio tokens, reason about them, and generate text as outputs.

Compact yet powerful: At just 5.8 billion parameters, this model can be optimized for deployment worldwide. As the official blog post mentions, it "delivers highly efficient low latency inference, all while optimizing for on-device execution and reduced computational overhead."