A mixture-of-experts base model that activates only 3 billion of its 30 billion parameters per forward pass, making it computationally lean without sacrificing breadth. As a base model, it arrives without instruction tuning or chat formatting — raw and flexible, suited for fine-tuning or custom prompting pipelines rather than out-of-the-box conversation. Its sparse activation pattern means it punches above its compute weight on many language tasks.