Hugging Face Releases Six Open-Weights Ettin Reranker Models, From 17M to 1B Parameters
New CrossEncoder rerankers built on ModernBERT achieve state-of-the-art performance at multiple scales with published training recipes.
#embeddings
IBM Granite Embedding Multilingual R2: 97M and 311M Parameter Models Top MTEB Multilingual Retrieval Charts
IBM releases two Apache 2.0 multilingual embedding models built on ModernBERT, with 32K-token context and coverage for 200+ languages.