AI models
EI-REHN-1000D
Training compute
1.1×10¹⁶ FLOP
Parameters
19M
Published
Aug 14, 2017
EI-REHN-1000D is an AI model developed by Korea Advanced Institute of Science and Technology (KAIST) (South Korea), first published in August 2017. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.1×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 19,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 6 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Korea Advanced Institute of Science and Technology (KAIST)
- Country of organization
- South Korea
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.1×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 19,000,000
- Dataset size
- 929K
- Numerical format
- FP32
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 6
- Epoch confidence
- Confident
More from Korea Advanced Institute of Science and Technology (KAIST)
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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