AI models
Delphi
Parameters
11B
Published
Jul 12, 2022
Delphi is an AI model developed by Allen Institute for AI and University of Washington (United States), first published in July 2022. It works in the language domain, on tasks such as chat.
Epoch AI has no training-compute estimate for this model. The model has 11,000,000,000 parameters. It was trained on roughly 26.2B datapoints. Training ran on Google TPU v3 for about 72 hours.
Access: Hosted access (no API). Its weights are not openly released. It is built on top of Unicorn. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Allen Institute for AI, University of Washington
- Country of organization
- United States
- Domain
- Language
- Task
- Chat
- Compute estimation method
- Operation counting
- Parameters
- 11,000,000,000
- Dataset size
- 26.2B
- Training hardware
- Google TPU v3
- Training time
- 72 h
- Model accessibility
- Hosted access (no API)
- Open weights
- No
- Base model
- Unicorn
- Epoch confidence
- Speculative
More from Allen Institute for AI,University of Washington
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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