New ModelsOpen weights
EuroBERT
EuroBERT: multilingual encoder models from 210M to 2.1B parameters
EuroBERT is a new family of multilingual encoder models ranging from 210M to 2.1B parameters, trained on a 5 trillion-token dataset across 15 languages with 8K context support. It targets European and global language NLP tasks like retrieval and RAG, where properly encoding non-English character sets matters.