AI models
VD-LSTM+REAL Large
Training compute
2.1×10¹⁶ FLOP
Parameters
51M
Published
Nov 4, 2016
VD-LSTM+REAL Large is an AI model developed by Salesforce Research and Stanford University (United States), first published in November 2016. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 2.1×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 51,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 404 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Salesforce Research, Stanford University
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 2.1×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 51,000,000
- Dataset size
- 929K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 404
- Epoch confidence
- Confident
More from Salesforce Research,Stanford University
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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