AI models
GPT-2-Medium+Pixelfly
Training compute
1.3×10¹⁹ FLOP
Parameters
203M
Published
Nov 30, 2021
GPT-2-Medium+Pixelfly is an AI model developed by Stanford University, SambaNova Systems, Inc, Peking University, Adobe and University at Buffalo (United States and China), first published in November 2021. It works in the language domain, on tasks such as language modeling and text classification.
Training it took an estimated 1.3×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 203,000,000 parameters. It was trained on roughly 103M datapoints. Training ran on NVIDIA V100.
Access: Unreleased. Its weights are not openly released. The reference paper has 94 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Stanford University, SambaNova Systems, Inc, Peking University, Adobe, University at Buffalo
- Country of organization
- United States, China
- Domain
- Language
- Task
- Language modeling, Text classification
- Training compute
- 1.3×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 203,000,000
- Dataset size
- 103M
- Training hardware
- NVIDIA V100
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 94
- Epoch confidence
- Confident
More from Stanford University,SambaNova Systems, Inc,Peking University,Adobe,University at Buffalo
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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