AI models
LSTM(large)+Sememe+cell
Training compute
2.3×10¹⁶ FLOP
Parameters
48M
Published
Oct 20, 2019
LSTM(large)+Sememe+cell is an AI model developed by Tsinghua University, Beijing University of Posts and Telecommunications and Huawei Noah's Ark Lab (China), first published in October 2019. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 2.3×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 48,000,000 parameters. It was trained on roughly 2M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 19 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Tsinghua University, Beijing University of Posts and Telecommunications, Huawei Noah's Ark Lab
- Country of organization
- China
- Domain
- Language
- Task
- Language modeling
- Training compute
- 2.3×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 48,000,000
- Dataset size
- 2M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 19
- Epoch confidence
- Likely
More from Tsinghua University,Beijing University of Posts and Telecommunications,Huawei Noah's Ark Lab
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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