AI models
RGC+ASQ (WT2)
Parameters
209M
Published
Aug 13, 2018
RGC+ASQ (WT2) is an AI model developed by Tsinghua University and University of California Los Angeles (UCLA) (China and United States), first published in August 2018. 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 209,000,000 parameters.
Access: Unreleased. Its weights are not openly released. The reference paper has 29 citations.
Full record
- Organization
- Tsinghua University, University of California Los Angeles (UCLA)
- Country of organization
- China, United States
- Domain
- Language
- Task
- Language modeling
- Parameters
- 209,000,000
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 29
More from Tsinghua University,University of California Los Angeles (UCLA)
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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