Introducing Jamba2: The open source model family for enterprise reliability and efficiency

Jamba2 is a new open-source family of language models designed for enterprise use, focusing on reliability and steerability, and built with the SSM-Transformer architecture. The models are available in two sizes, 3B and Mini, and are released under the Apache 2.0 License, making them accessible for developers to use on various devices. Jamba2 excels in instruction-following and grounding benchmarks, offering a memory-efficient solution for precise question-answering workflows in enterprise settings. It is engineered to deliver high throughput and enterprise-grade accuracy without the high costs associated with reasoning models. The development of Jamba2 involved a rigorous training process, including mid-training with a diverse token mix and on-policy reinforcement learning, to ensure its proficiency in handling complex enterprise tasks. Available on platforms like Hugging Face and AI21 Studio, Jamba2 invites researchers and developers to explore and expand its applications in real-world scenarios.