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MobileBERT

Parameters
25.3M
Published
Apr 6, 2020

MobileBERT is an AI model developed by Carnegie Mellon University (CMU) and Google Brain (United States), first published in April 2020. It works in the language domain, on tasks such as text autocompletion and language modeling/generation.

Epoch AI has no training-compute estimate for this model. The model has 25,300,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 1,011 citations.

Full record
Organization
Carnegie Mellon University (CMU), Google Brain
Country of organization
United States
Domain
Language
Task
Text autocompletion, Language modeling/generation
Parameters
25,300,000
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Citations
1,011
More from Carnegie Mellon University (CMU),Google Brain
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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