AI models
Specter
Parameters
110M
Published
May 20, 2020
Specter is an AI model developed by Allen Institute for AI and University of Washington (United States), first published in May 2020. It works in the language domain, on tasks such as document representation.
Epoch AI has no training-compute estimate for this model. The model has 110,000,000 parameters. Training ran on 1 NVIDIA Titan V for about 84 hours.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of SciBERT. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Allen Institute for AI, University of Washington
- Country of organization
- United States
- Domain
- Language
- Task
- Document representation
- Compute estimation method
- Hardware, Operation counting
- Parameters
- 110,000,000
- Training hardware
- NVIDIA Titan V
- Chips used
- 1
- Training time
- 84 h
- Training power draw
- 280 W
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- SciBERT
- Epoch confidence
- Likely
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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