- Released
- 6mo ago
- Size
- 5.4Bparameters
Second-generation Ai2 open action reasoning model for robots working in the real world.
- Multimodal model
- Open weights · 5.4B
- Accepts images
How it compares
Frequently asked questions
Running locally
MolmoAct 2 has 5.4B parameters. Estimated VRAM is 4.3 GB at Q4, 7.1 GB at Q8 and 13 GB at FP16. These figures are estimates, covering weights plus about 15% and 0.5 GB for a short context.
Yes. On a 24 GB or 16 GB GPU it fits at FP16 (estimated 13 GB), and on a 12 GB or 8 GB GPU it fits at Q8 (estimated 7.1 GB).
Yes, at Q4 the estimated VRAM is 4.3 GB. Assuming macOS lets the GPU use about 75% of unified memory, the smallest common Mac memory size that fits Q4 is 8 GB.
Privacy and data
Yes, MolmoAct 2 has open weights, so you can self-host it for full control of your data.
Capabilities and specs
It reads text and images. Audio, video and PDFs are not among its input modalities.
Quality and benchmarks
Closest alternatives, matched on model kind and release date with no comparable price, are Nex-N2-Pro by Nex AGI, MiMo-V2.5-Pro-UltraSpeed by Xiaomi and DiffusionGemma 26B A4B IT by Google DeepMind.
Nex-N2-ProMolmoAct 2 vs Nex-N2-ProMiMo-V2.5-Pro-UltraSpeedMolmoAct 2 vs MiMo-V2.5-Pro-UltraSpeedDiffusionGemma 26B A4B ITMolmoAct 2 vs DiffusionGemma 26B A4B IT
Licensing and access
MolmoAct 2 is open weights.
The MolmoAct 2 weights are available in the Hugging Face repository allenai/MolmoAct2.
Basics
MolmoAct 2 was made by Ai2 and released on May 5, 2026.
Yes, MolmoAct 2 has open weights.
Generated from Vertical Tabs data, updated November 9, 2026.






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