The Granite 4.2 LLMs are built upon a foundation of 3 trillion parameters. The models are trained on a diverse dataset, including code and text. They are designed to be efficient and scalable, suitable for deployment in agent systems. The models offer a 32k token context window. The models are available under a permissive Apache 2.0 license.