Cohere Enterprise AI has launched a new family of multilingual models on the sidelines of the ongoing AI Summit in India. Dubbed Tiny Aya, the models are open-source — meaning their underlying code is publicly available for anyone to use and modify — support more than 70 languages, and can run on everyday devices like laptops without the need for an Internet connection.
Launched by the research arm of Cohere Labs, the model supports South Asian languages such as Bengali, Hindi, Punjabi, Urdu, Gujarati, Tamil, Telugu and Marathi.
The base model contains 3.35 billion parameters – a measure of its size and complexity. Cohere also launched TinyAya-Global, a tuned version to better track user commands for applications that require broad language support. Regional variants complete the family: 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 foundations and cultural nuances, creating systems that feel more natural and reliable for the communities they are meant to serve. At the same time, all of Tina Aya’s models retain broad multilingual coverage, making them flexible starting points for further adaptation and research,” the company said in a statement.
Cohere noted that these models, which were trained on a single cluster of 64 GPU H100s (a type of high-performance chip from Nvidia) using relatively modest computing resources, are ideal for researchers and developers building applications for native-speaking audiences. Models can be run directly on devices, so developers can use them for offline translation. The company noted that it built its core software to suit on-device use and require less processing power than most comparable models.
In linguistically diverse countries like India, this kind of offline capability can open up a diverse set of applications and use cases without the need for constant Internet access.
The models are available on HuggingFace, a popular platform for sharing and testing artificial intelligence models, and on the Cohere platform. Developers can download them on HuggingFace, Kaggle and Ollama for local deployment. The company is also releasing training and evaluation datasets on HuggingFace and plans to release a technical report detailing the training methodology.
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