AI models
TOME
Training compute
10²¹ FLOP
Parameters
220M
Published
Oct 12, 2021
TOME is an AI model developed by University of Southern California and Google (United States), first published in October 2021. It works in the language domain, on tasks such as question answering.
Training it took an estimated 10²¹ FLOP of compute (estimation method: operation counting). The model has 220,000,000 parameters.
Access: Unreleased. Its weights are not openly released. The reference paper has 55 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- University of Southern California, Google
- Country of organization
- United States
- Domain
- Language
- Task
- Question answering
- Training compute
- 10²¹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 220,000,000
- Numerical format
- FP32
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 55
- Epoch confidence
- Likely
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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