Jamba 1.5 Large is a hybrid architecture model from AI21 Labs that combines transformer and Mamba state-space layers, giving it an unusually long 256K token context window without the typical memory costs. It handles long-document tasks with efficiency that pure-transformer models often struggle to match at scale. The trade-off is that it's less widely tested in community benchmarks than more mainstream architectures.