A mixture-of-experts model that punches above its weight by activating only 3 billion parameters per forward pass despite having 30 billion total. This selective activation keeps inference costs lean while preserving a remarkably long context window of 262,144 tokens — enough to process book-length documents in a single pass. The trade-off is the typical MoE complexity: routing overhead and memory requirements for loading all expert weights.