What makes the Granite models unique is their focus on enterprise use cases. Trained on over 10 trillion tokens of data, they excel at tasks like retrieval, text generation, classification, summarization, and entity extraction - capabilities that are highly valuable for businesses. And thanks to their open-source and permissively licensed nature, the Granite models can be easily fine-tuned and integrated into diverse corporate workflows.
Importantly, IBM has also developed "mixture of experts" variants of the Granite models, where the total parameter count is split across specialized sub-models. This allows for even more efficient inference, making the Granite models ideal for on-device and low-latency applications.