AI models
Transformer-C
Training compute
1.9×10¹⁸ FLOP
Parameters
148M
Published
Apr 8, 2021
Transformer-C is an AI model developed by University of Massachusetts Amherst (United States), first published in April 2021. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.9×10¹⁸ FLOP of compute (estimation method: operation counting,hardware). The model has 148,000,000 parameters. It was trained on roughly 103M datapoints. Training ran on 4 NVIDIA GeForce GTX 1080 Ti for about 40 hours.
Access: Unreleased. Its weights are not openly released. The reference paper has 16 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Massachusetts Amherst
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.9×10¹⁸ FLOP
- Compute estimation method
- Operation counting, Hardware
- Parameters
- 148,000,000
- Dataset size
- 103M
- Training hardware
- NVIDIA GeForce GTX 1080 Ti
- Chips used
- 4
- Training time
- 40 h
- Training power draw
- 2.0 kW
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 16
- Epoch confidence
- Confident
More from University of Massachusetts Amherst
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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