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Endigest AI Core Summary
The Ettin Reranker Family introduces six new Sentence Transformers CrossEncoder models ranging from 17M to 1B parameters, achieving state-of-the-art performance at their respective sizes.
•Six model variants (17m, 32m, 68m, 150m, 400m, 1b) built on Ettin ModernBERT encoders supporting up to 8,192 tokens of context length
•Trained via distillation on mixedbread-ai/mxbai-rerank-large-v2 scores for efficient knowledge transfer from larger teacher models
•Implements retrieve-then-rerank pipeline combining fast embedding models for candidate retrieval with accurate reranking