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MGK 8 heads (small)

Training compute
3×10¹⁸ FLOP
Parameters
40M
Published
Oct 16, 2021

MGK 8 heads (small) is an AI model developed by FPT Software AI Center, University of California Los Angeles (UCLA), VinUniversity, Deezer Research, Rice University and University of Texas at Austin (Vietnam, United States and France), first published in October 2021. It works in the language domain, on tasks such as language modeling.

Training it took an estimated 3×10¹⁸ FLOP of compute. The model has 40,000,000 parameters. Training ran on 2 NVIDIA A100.

Access: Unreleased. Its weights are not openly released. The reference paper has 39 citations. Epoch AI rates the confidence of this record as confident.

Full record
Organization
FPT Software AI Center, University of California Los Angeles (UCLA), VinUniversity, Deezer Research, Rice University, University of Texas at Austin
Country of organization
Vietnam, United States, France
Domain
Language
Task
Language modeling
Training compute
3×10¹⁸ FLOP
Parameters
40,000,000
Training hardware
NVIDIA A100
Chips used
2
Training power draw
1.6 kW
Model accessibility
Unreleased
Open weights
No
Citations
39
Epoch confidence
Confident
More from FPT Software AI Center,University of California Los Angeles (UCLA),VinUniversity,Deezer Research,Rice University,University of Texas at Austin
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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