AI models
Tk-Instruct
Parameters
11B
Published
Oct 24, 2022
Tk-Instruct is an AI model developed by University of Washington, Arizona State University and Allen Institute for AI (United States), first published in October 2022. It works in the language domain, on tasks such as instruction interpretation.
Epoch AI has no training-compute estimate for this model. The model has 11,000,000,000 parameters. It was trained on roughly 1B datapoints. Training ran on Google TPU v3 for about 20 hours.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of T5-11B. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University of Washington, Arizona State University, Allen Institute for AI
- Country of organization
- United States
- Domain
- Language
- Task
- Instruction interpretation
- Compute estimation method
- Operation counting
- Parameters
- 11,000,000,000
- Dataset size
- 1B
- Training hardware
- Google TPU v3
- Training time
- 20 h
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- T5-11B
- Epoch confidence
- Speculative
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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