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Cohere releases Tiny Aya, a family of 3.35B-parameter open-weight models supporting 70+ languages for offline use, trained on a single cluster of 64 H100 GPUs

Enterprise AI company Cohere launched a new family of multilingual models on the sidelines of the ongoing India AI Summit.

TechCrunch Ivan Mehta

Discussion

  • @cohere_labs @cohere_labs on x
    Despite being smaller, Tiny Aya competes with 4B models across translation, mathematical reasoning, understanding, and generation with especially strong gains for African languages. 🌍 [image]
  • @cohere_labs @cohere_labs on x
    We take a stance for language diversity. Going beyond the one-fits-all paradigm, we release not only one instruction-finetuned model balancing all 70 languages (Tiny Aya Global), but accompany it with three region-focused models. 🌐 [image]
  • @cohere_labs @cohere_labs on x
    Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are. Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone. [video]
  • r/LocalLLaMA r on reddit
    Tiny Aya