2 articles about ModernBERT
Hugging Face releases six CrossEncoder rerankers built on the Ettin ModernBERT encoders, from 17M to 1B parameters — state-of-the-art at their sizes on MTEB retrieval and up to 8.3x faster than prior baselines.
IBM Granite releases two Apache 2.0 multilingual embedding models on ModernBERT — a 97M model scoring 60.3 and a 311M model scoring 65.2 on MTEB Multilingual Retrieval.