Cohere2 text-generation architecture
The captured configuration identifies Cohere2ForCausalLM with model type cohere2 and Transformers support.
Open Source Model Profile · CohereLabs
tiny-aya-global is a 3.35B-parameter Cohere2-family text-generation model from CohereLabs. According to the model card, it targets balanced coverage across 70+ languages.
tiny-aya-global is published by CohereLabs as a text-generation model. The captured configuration identifies Cohere2ForCausalLM with model type cohere2, and Safetensors metadata reports about 3.35B parameters. According to the model card, it is the global variant of Tiny Aya, optimized for balanced multilingual representation across 70+ languages.
The captured configuration identifies Cohere2ForCausalLM with model type cohere2 and Transformers support.
According to the model card, the model covers 70+ languages with emphasis on low-resource language performance; hub tags record the same broad language list.
According to the model card, the architecture uses three sliding-window attention layers with RoPE plus a fourth global-attention layer.
Hub tags and the captured page text link this fine-tune to CohereLabs/tiny-aya-base.
Source: CohereLabs/tiny-aya-global
Captured: Unknown. Processed: 2026-09-07T19:35:38.676996+00:00.
Model Card for tiny-aya-global Best balance across languages and regions. For other regions, check tiny-aya-fire , tiny-aya-earth , tiny-aya-water Model Summary Cohere Labs Tiny Aya is an open weights research release of a pretrained 3.35 billion parameter model optimized for efficient, strong, and balanced multilingual representation across 70+ languages, including many lower-resourced ones. The model is designed to support downstream adaptation, instruction tuning, and local deployment under realistic compute constraints. Developed by: Cohere and Cohere Labs Point of Contact: Cohere Labs License: CC-BY-NC , requires also adhering…
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