LightOn releases mLateOn: SOTA multilingual retrieval with just 115M parameters
antoine_chaffin · x · 2026-08-20
LightOn has released mLateOn, a new multilingual ColBERT-style retrieval model that sets a new state-of-the-art among 11 evaluated late-interaction models.
- Performance: With only 115 million active parameters, it delivers retrieval quality comparable to leading 4B and 8B parameter dense embedding models.
- Datasets: The team open-sourced the mLateOn (multilingual) and LateOn (English) datasets used for training.
- Availability: The models and datasets are available on Hugging Face under the "mDenseOn & mLateOn" collection, which also includes related components like DenseOn and LateOn-Code.
Related event: LightOn's 115M-Parameter mLateOn Tops Multilingual Retrieval Benchmarks(4 posts)→
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