A compact, open-weight model from IBM's Granite family focused on producing embeddings from text. It operates quietly in the background — no conversational flair, just structured numerical representations of input. Its small 2B parameter footprint makes it lightweight to deploy, though details about its specific embedding quality and use cases are limited beyond its non-autoregressive (NAR) architecture signal.