AI models
Delta RNN (+ full context)
Training compute
1.1×10¹⁸ FLOP
Parameters
44.6M
Published
Jun 11, 2021
Delta RNN (+ full context) is an AI model developed by IDSIA, SUPSI and King Abdullah University of Science and Technology (KAUST) (Switzerland and Saudi Arabia), first published in June 2021. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.1×10¹⁸ FLOP of compute (estimation method: operation counting). The model has 44,600,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 77 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- IDSIA, SUPSI, King Abdullah University of Science and Technology (KAUST)
- Country of organization
- Switzerland, Saudi Arabia
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.1×10¹⁸ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 44,600,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 77
- Epoch confidence
- Speculative
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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