XLMR-XXL

Training compute

3.4×10²² FLOP

Parameters

10.7B

Published

Aug 17, 2021

XLMR-XXL is an AI model developed by Facebook AI Research (United States and France), first published in August 2021. It works in the language domain, on tasks such as translation and language modeling/generation.

Training it took an estimated 3.4×10²² FLOP of compute (estimation method: operation counting). The model has 10,700,000,000 parameters. It was trained on roughly 167B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 159 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Facebook AI Research
Country of organization: United States, France
Domain: Language
Task: Translation, Language modeling/generation
Training compute: 3.4×10²² FLOP
Compute estimation method: Operation counting
Parameters: 10,700,000,000
Dataset size: 167B
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 159
Epoch confidence: Confident