Enterprise AI firm Cohere has introduced a new family of multilingual AI models during the ongoing India AI Summit, expanding access to open and device friendly artificial intelligence. Developed by its research division Cohere Labs, the new models are called Tiny Aya and are open weight, meaning their underlying code is publicly available for developers to use and modify. The models support more than 70 languages and can run directly on everyday devices such as laptops without requiring an internet connection.
Tiny Aya includes support for major South Asian languages including Bengali, Hindi, Punjabi, Urdu, Gujarati, Tamil, Telugu and Marathi. The base model has 3.35 billion parameters, which reflects its size and capability. The company has also released TinyAya Global, a version fine tuned to better follow user instructions for applications requiring wide language coverage. Regional variants complete the lineup, including TinyAya Earth for African languages, TinyAya Fire for South Asian languages and TinyAya Water for Asia Pacific, West Asia and Europe.
“This approach allows each model to develop stronger linguistic grounding and cultural nuance, creating systems that feel more natural and reliable for the communities they are meant to serve. At the same time, all Tiny Aya models retain broad multilingual coverage, making them flexible starting points for further adaptation and research,” the company said in a statement. Cohere added that the models were trained on a single cluster of 64 H100 GPUs from Nvidia using relatively modest computing resources. They are designed for researchers and developers building apps for native language audiences and can power offline translation. The company said it built the software to suit on device use, requiring less computing power than many comparable systems.
The models are available on Hugging Face and the Cohere Platform and can also be downloaded via Kaggle and Ollama for local deployment. Cohere is releasing its training and evaluation datasets on Hugging Face and plans to publish a technical report explaining its training process. Chief executive Aidan Gomez said last year that the company plans to go public “soon.” According to a business news report, the company closed 2025 with $240 million in annual recurring revenue and recorded 50% quarter over quarter growth during the year.
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