A large mixture-of-experts model that activates roughly 17 billion parameters per token despite housing nearly 400 billion total, keeping inference costs manageable while drawing on a vast pool of specialized knowledge. It handles both text and images, switching between modalities without much friction. The sheer parameter count gives it broad coverage across technical and general topics, though the 8-bit quantization means some precision is traded for practicality on local hardware.