Cosmos-Reason2
- AI model
- Humanoids and robot learning
An open vision language model from NVIDIA for physical AI and robotics, letting robots and vision agents reason about space, time and physics.
- Custom weights terms
Made by NVIDIA, United States (checked on github.com/nvidia-cosmos (opens in a new tab)).
Source on GitHub: github.com/nvidia-cosmos/cosmos-reason2 (opens in a new tab). Facts read at commit a3b4a1d (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit a3b4a1d (opens in a new tab), on 5 Nov 2026.
- Weights
- NVIDIA Open Model LicenseTerms of their own, not a standard license
Read on huggingface.co/nvidia/Cosmos-Reason2-2B (opens in a new tab).
- Commercial use
- Unknown
A license Robotheca cannot classify by itself: read it before any commercial use.
Labels
- Custom weights termsThe weights come under their maker's own terms (NVIDIA Open Model License), not a standard license: read their conditions before any use.
What it does: Robotheca's summary
- Reasons about physical common sense and embodied scenarios, using chain-of-thought to plan the next steps an agent might take.
- Comes in 2B, 8B and 32B parameter versions, all published on Hugging Face.
- Runs through the Transformers library and is recommended for deployment and batch inference with vLLM.
- Supports online serving and offline inference for captioning videos and answering questions about images.
- Can be post-trained with TRL or Cosmos-RL, and quantized with llmcompressor.
- The repository now receives only limited maintenance; new development moved to Cosmos 3.
Written by Robotheca from the project's README (opens in a new tab) at commit a3b4a1d.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 7 Jun 2026 on main
- Latest release
- v1.0.1 (9 Feb 2026)
Checked on GitHub on 5 Nov 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists AI models as a reference: nothing is hosted or run here, and every fact links to where it was read.