Aya Expanse 8B

Training compute

1.7×10²¹ FLOP

Parameters

8B

Published

Oct 24, 2024

Aya Expanse 8B is an AI model developed by Cohere for AI (Canada), first published in October 2024. It works in the language domain, on tasks such as language modeling/generation and translation.

Training it took an estimated 1.7×10²¹ FLOP of compute (estimation method: operation counting). The model has 8,000,000,000 parameters. It was trained on roughly 34.5B datapoints.

Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Cohere for AI
Country of organization: Canada
Domain: Language
Task: Language modeling/generation, Translation
Training compute: 1.7×10²¹ FLOP
Compute estimation method: Operation counting
Parameters: 8,000,000,000
Dataset size: 34.5B
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Likely