AI models
6-Layer-Tensor-Transformer+AdaHessian
Training compute
1.6×10¹⁸ FLOP
Parameters
85.5M
Published
Jun 1, 2020
6-Layer-Tensor-Transformer+AdaHessian is an AI model developed by NERSC, Lawrence Berkeley National Laboratory and University of California (UC) Berkeley (United States), first published in June 2020. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.6×10¹⁸ FLOP of compute (estimation method: operation counting). The model has 85,500,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 365 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- NERSC, Lawrence Berkeley National Laboratory, University of California (UC) Berkeley
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.6×10¹⁸ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 85,500,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 365
- 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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