AI models
Octo-Small
Parameters
27M
Published
May 20, 2024
Octo-Small is an AI model developed by University of California (UC) Berkeley, Stanford University, Carnegie Mellon University (CMU) and DeepMind (United States and United Kingdom), first published in May 2024. It works in the robotics domain, on tasks such as robotic manipulation.
Epoch AI has no training-compute estimate for this model. The model has 27,000,000 parameters. Training ran on Google TPU v4.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 1,244 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of California (UC) Berkeley, Stanford University, Carnegie Mellon University (CMU), DeepMind
- Country of organization
- United States, United Kingdom
- Domain
- Robotics
- Task
- Robotic manipulation
- Parameters
- 27,000,000
- Training hardware
- Google TPU v4
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 1,244
- Epoch confidence
- Confident
More from University of California (UC) Berkeley,Stanford University,Carnegie Mellon University (CMU),DeepMind
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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