AWD-LSTM-DOC (fin) (23M)

Training compute

4.3×10¹⁶ FLOP

Parameters

23M

Published

Aug 30, 2018

AWD-LSTM-DOC (fin) (23M) is an AI model developed by NTT Communication Science Laboratories and Tohoku University (Japan), first published in August 2018. It works in the language domain, on tasks such as language modeling.

Training it took an estimated 4.3×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 23,000,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 37 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: NTT Communication Science Laboratories, Tohoku University
Country of organization: Japan
Domain: Language
Task: Language modeling
Training compute: 4.3×10¹⁶ FLOP
Compute estimation method: Operation counting
Parameters: 23,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 37
Epoch confidence: Confident

More from NTT Communication Science Laboratories,Tohoku University

(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)RNN + char4-MS-vec RNN + char3-MS-vec RNN + char2-MS-vec (ensemble): AWD-LSTM-DOC (fin) × 5 (PTB)AWD-LSTM-DOC (fin) (37M)

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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