AI models
RFM-1
Training compute
2.4×10²⁰ FLOP
Parameters
8B
Published
Mar 11, 2024
RFM-1 is an AI model developed by Covariant (United States), first published in March 2024. It works in the robotics, vision and video domain, on tasks such as robotic manipulation, image captioning and video description.
Training it took an estimated 2.4×10²⁰ FLOP of compute (estimation method: operation counting). The model has 8,000,000,000 parameters.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Covariant
- Country of organization
- United States
- Domain
- Robotics, Vision, Video
- Task
- Robotic manipulation, Image captioning, Video description
- Training compute
- 2.4×10²⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 8,000,000,000
- Model accessibility
- Unreleased
- Open weights
- No
- 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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