AI models
Compress-LSTM (66M)
Training compute
3.3×10¹⁶ FLOP
Parameters
66M
Published
Feb 6, 2019
Compress-LSTM (66M) is an AI model developed by Samsung R&D Institute Russia and National Research University Higher School of Economics (Russia), first published in February 2019. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 3.3×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 66,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 43 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Samsung R&D Institute Russia, National Research University Higher School of Economics
- Country of organization
- Russia
- Domain
- Language
- Task
- Language modeling
- Training compute
- 3.3×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 66,000,000
- Dataset size
- 929K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 43
- Epoch confidence
- Confident
More from Samsung R&D Institute Russia,National Research University Higher School of Economics
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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