AI models
MADLAD-400 10B
Training compute
1.6×10²² FLOP
Parameters
10.7B
Published
Sep 9, 2023
MADLAD-400 10B is an AI model developed by Google DeepMind and Google Research (United States), first published in September 2023. It works in the language domain, on tasks such as translation.
Training it took an estimated 1.6×10²² FLOP of compute (estimation method: operation counting). The model has 10,700,000,000 parameters. It was trained on roughly 250B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 229 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Google DeepMind, Google Research
- Country of organization
- United States
- Domain
- Language
- Task
- Translation
- Training compute
- 1.6×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 10,700,000,000
- Dataset size
- 250B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 229
- Epoch confidence
- Confident
More from Google DeepMind,Google Research
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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