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Aya 23: Open Weight Releases to Further Multilingual Progress

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arxiv 2405.15032 v2 pith:DMRFVOC2 submitted 2024-05-23 cs.CL

Aya 23: Open Weight Releases to Further Multilingual Progress

classification cs.CL
keywords multilinguallanguagesmodelmodelslanguageexpandinglikeopen
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This technical report introduces Aya 23, a family of multilingual language models. Aya 23 builds on the recent release of the Aya model (\"Ust\"un et al., 2024), focusing on pairing a highly performant pre-trained model with the recently released Aya collection (Singh et al., 2024). The result is a powerful multilingual large language model serving 23 languages, expanding state-of-art language modeling capabilities to approximately half of the world's population. The Aya model covered 101 languages whereas Aya 23 is an experiment in depth vs breadth, exploring the impact of allocating more capacity to fewer languages that are included during pre-training. Aya 23 outperforms both previous massively multilingual models like Aya 101 for the languages it covers, as well as widely used models like Gemma, Mistral and Mixtral on an extensive range of discriminative and generative tasks. We release the open weights for both the 8B and 35B models as part of our continued commitment for expanding access to multilingual progress.

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Cited by 14 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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