A large mixture-of-experts model that activates roughly 17 billion parameters per forward pass despite housing 397 billion total, keeping inference costs manageable while retaining broad capacity. It handles both text and image inputs, making it multimodal out of the box. The 8-bit quantization trades a small amount of precision for significantly reduced memory footprint, which is the practical compromise most local deployments will notice first.