AI models
Compress-LSTM (4.6M)
Parameters
4.6M
Published
Feb 6, 2019
Compress-LSTM (4.6M) 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.
Epoch AI has no training-compute estimate for this model. The model has 4,600,000 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
- Parameters
- 4,600,000
- 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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