115M parameter model mLateOn achieves multilingual retrieval SOTA
lateinteraction · x · 2026-08-21
mLateOn now tops another leaderboard including languages it was not trained on, outperforming much larger models and rerankers. It sets a new SOTA for multilingual ColBERT-style retrieval, leading all 11 evaluated late-interaction models. With only 115M active parameters, it delivers retrieval quality comparable to leading 4B and 8B dense embedding models.
Related event: LightOn's 115M-Parameter mLateOn Tops Multilingual Retrieval Benchmarks(4 posts)→
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