AI models
dense-IndRNN+dynamic eval
Parameters
44.1M
Published
Oct 11, 2019
dense-IndRNN+dynamic eval is an AI model developed by Shandong University and University of Wollongong (China and Australia), first published in October 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 44,100,000 parameters.
Access: Unreleased. Its weights are not openly released. The reference paper has 55 citations.
Full record
- Organization
- Shandong University, University of Wollongong
- Country of organization
- China, Australia
- Domain
- Language
- Task
- Language modeling
- Parameters
- 44,100,000
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 55
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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