AI models
NoPos
Training compute
2.1×10¹⁹ FLOP
Parameters
1.3B
Published
Mar 30, 2022
NoPos is an AI model developed by Tel Aviv University, University of Washington, Intel Labs and Meta AI (Israel and United States), first published in March 2022. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 2.1×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 1,300,000,000 parameters. It was trained on roughly 21B datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 185 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Tel Aviv University, University of Washington, Intel Labs, Meta AI
- Country of organization
- Israel, United States
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 2.1×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 1,300,000,000
- Dataset size
- 21B
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 185
- 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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