AI models
Selfish-RNN (SNT-ASGD) Stacked LSTMs
Training compute
1.2×10¹⁶ FLOP
Parameters
25.2M
Published
Jan 22, 2021
Selfish-RNN (SNT-ASGD) Stacked LSTMs is an AI model developed by Eindhoven University of Technology and University of Twente (Netherlands), first published in January 2021. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.2×10¹⁶ FLOP of compute (estimation method: reported,operation counting). The model has 25,200,000 parameters. It was trained on roughly 912.3K datapoints.
Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 43 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Eindhoven University of Technology, University of Twente
- Country of organization
- Netherlands
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.2×10¹⁶ FLOP
- Compute estimation method
- Reported, Operation counting
- Parameters
- 25,200,000
- Dataset size
- 912.3K
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Citations
- 43
- Epoch confidence
- Confident
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.
← All ai models