NVIDIA's 16B post-trained models cover multi-view driving data, synchronized camera-LiDAR streams, simulator-to-video rendering and two-arm robot prediction.
By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
· Published
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Primary source: [Hugging Face Newsroom](https://huggingface.co/blog/nvidia/cosmos-interactive-world-simulation)
Why it matters #
Open, task-specific world-model checkpoints lower the cost of generating rare driving conditions and robot training scenes without collecting every case physically. The commercial-use license and adaptation recipes make the release usable inside company simulation stacks.
NVIDIA added four open-weight Cosmos 3 Nano checkpoints to Hugging Face on November 5th, 2026, extending the Cosmos 3 family into streaming driving simulation and action-conditioned robot video. The four releases are post-trained versions of Cosmos 3 Nano, each with 16B trainable parameters, released under OpenMDW 1.1 terms that permit commercial and non-commercial use.…
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