Jamba Large 1.7 is AI21 Labs's hybrid model that blends Mamba state-space layers with traditional transformer attention, giving it an unusually long effective context window without the memory costs that typically come with it. It handles long documents and extended conversations efficiently, maintaining coherence across large inputs where pure-transformer models often struggle.