AI models
FAIRSEQ Adaptive Inputs
Training compute
3.2×10¹⁹ FLOP
Parameters
247M
Published
Apr 1, 2019
FAIRSEQ Adaptive Inputs is an AI model developed by Facebook AI Research and Google Brain (United States and France), first published in April 2019. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 3.2×10¹⁹ FLOP of compute (estimation method: operation counting,hardware). The model has 247,000,000 parameters. It was trained on roughly 103M datapoints. Training ran on NVIDIA V100.
Access: Unreleased. Its weights are not openly released. The reference paper has 3,381 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Facebook AI Research, Google Brain
- Country of organization
- United States, France
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 3.2×10¹⁹ FLOP
- Compute estimation method
- Operation counting, Hardware
- Parameters
- 247,000,000
- Dataset size
- 103M
- Training hardware
- NVIDIA V100
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 3,381
- Epoch confidence
- Speculative
More from Facebook AI Research,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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