AI models
NAS+ESS (23M)
Parameters
23M
Published
May 6, 2020
NAS+ESS (23M) is an AI model developed by Northeastern University (China), NiuTrans Research and Kingsoft (China), first published in May 2020. It works in the language domain, on tasks such as neural architecture search - nas and language modeling.
Epoch AI has no training-compute estimate for this model. The model has 23,000,000 parameters. Training ran on 1 NVIDIA GeForce GTX 1080 Ti.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Northeastern University (China), NiuTrans Research, Kingsoft
- Country of organization
- China
- Domain
- Language
- Task
- Neural Architecture Search - NAS, Language modeling
- Parameters
- 23,000,000
- Training hardware
- NVIDIA GeForce GTX 1080 Ti
- Chips used
- 1
- Training power draw
- 280 W
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
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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