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200 languages translated by NLLB-200 model, 2x our previous model
Our final model has +44% BLEU performance improvement over the previous state-of-the-art model
75 languages previously unsupported by commercial translation systems
18 billion parallel sentences, 2.5x more training data than previous model M2M-100 model
Largest open-source machine translation model 54B, 5x number of parameters bigger than previous M2M-100 model
40,000 translation directions supported by a single model—more than 4x the capability of previous benchmark
The research advancements from NLLB supports more than 25 billion translations served every day on Facebook News Feed, Instagram, and our other platforms