AI models
Verbatim Memory Transformer (117M)
Parameters
117M
Published
Oct 24, 2022
Verbatim Memory Transformer (117M) is an AI model developed by Johns Hopkins University and New York University (NYU) (United States), first published in October 2022. 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 117,000,000 parameters. It was trained on roughly 10.7B datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 9 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Johns Hopkins University, New York University (NYU)
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Parameters
- 117,000,000
- Dataset size
- 10.7B
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 9
- Epoch confidence
- Confident
More from Johns Hopkins University,New York University (NYU)
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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