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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

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.

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.