A lean, efficient text processor that punches above its weight by using a mixture-of-experts architecture — only activating a fraction of its 16 billion parameters at inference time. This keeps compute costs lower than dense models of comparable size. As a base model, it has no instruction tuning, so it completes text rather than following directions, requiring additional fine-tuning for conversational or task-specific use.