Cohere Launches Tiny Aya: 3.35B Open-Weight Models Supporting 70+ Languages for Offline Use

Overview

Cohere unveiled Tiny Aya at the India AI Summit on February 17, 2026 — a family of compact, open-weight multilingual models designed to run offline on standard laptops. The release targets language accessibility in regions underserved by English-centric AI tools.

Model Specifications

Parameters: 3.35 billion
License: Open-weight (MIT)
Training infrastructure: Single cluster of 64 H100 GPUs
Languages supported: 70+

Regional Variants

Cohere released region-specific fine-tuned variants:

TinyAya-Fire: South Asian languages — Hindi, Urdu, Bengali, Punjabi, Gujarati, Tamil, Telugu, Marathi
TinyAya-Earth: African languages
TinyAya-Water: Asia-Pacific, Western Asian, and European languages

Availability

Models are available on HuggingFace, Kaggle, and Ollama for local deployment, as well as through the Cohere platform API. The efficient training footprint — just 64 H100 GPUs — also positions Tiny Aya as a reference point for cost-effective multilingual model development.

Source: TechCrunch

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