AI models
MolmoAct-7B-D
Parameters
7B
Published
Aug 19, 2025
MolmoAct-7B-D is an AI model developed by Allen Institute for AI and University of Washington (United States), first published in August 2025. 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 7,000,000,000 parameters. Training ran on NVIDIA H100 SXM5 80GB.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2.5-7B,SigLIP 400M. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Allen Institute for AI, University of Washington
- Country of organization
- United States
- Domain
- Robotics
- Task
- Robotic manipulation
- Compute estimation method
- Hardware, Operation counting
- Parameters
- 7,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chip-hours
- 12K
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen2.5-7B, SigLIP 400M
- Epoch confidence
- Confident
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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