mlsanityData to 7 Oct 2026

Tiny Aya: Bridging Scale and Multilingual Depth

arXiv 2603.11510 ↗First posted 12 Mar 2026cs.CLcited by 14

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Abstract (arXiv)

Tiny Aya redefines what a small multilingual language model can achieve. Trained on 70 languages and refined through region-aware posttraining, it delivers state-of-the-art in translation quality, strong multilingual understanding, and high-quality target-language generation, all with just 3.35B parameters. The release includes a pretrained foundation model, a globally balanced instruction-tuned variant, and three region-specialized models targeting languages from Africa, South Asia, Europe, Asia-Pacific, and West Asia. This report details the training strategy, data composition, and comprehensive evaluation framework behind Tiny Aya, and presents an alternative scaling path for multilingual AI: one centered on efficiency, balanced performance across languages, and practical deployment.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 60 of its 78 references that are in the map. First posted on arXiv 12 Mar 2026.

Builds on

60 of 78 references.

References · 60

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38 more
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