A mid-sized open-weight model from Gnani with a large 131K token context window, making it capable of handling lengthy documents or extended conversations in a single pass. It runs on a sparse mixture-of-experts style architecture (30B total parameters, 3B active), keeping inference costs lower than its total parameter count suggests. Details about its specific strengths and task focus are limited beyond its text-in, text-out design.