NVIDIA releases four Cosmos 3 open-weight models
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NVIDIA has added four Cosmos 3 open-weight checkpoints under the Cosmos world model platform, all post-trained versions of Cosmos 3 Nano, each with 16B trainable parameters, for generating interactive world simulations and multi-sensor, multi-view driving scenarios. The four models use the OpenMDW1.1 license, which permits commercial and non-commercial use under its terms. Running them requires Linux, an NVIDIA GPU, Docker, and the NVIDIA Container Toolkit; the vLLM-Omni configuration published by NVIDIA was tested on a single GB200, but that configuration is not a minimum VRAM requirement.
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- Hugging Face BlogFeaturedNew NVIDIA Cosmos 3 Open Models for Interactive World Simulation
NVIDIA's Cosmos world model platform adds four new open-weight checkpoints to its Cosmos 3 family: Cosmos3-Nano-Transfer-Auto for multi-view driving data with varied weather, lighting and time of day; Cosmos3-Nano-Sim-Auto for streaming synchronized camera and LiDAR driving simulation; Cosmos3-Nano-Sim-Transfer for turning simulator controls and text prompts into photorealistic video; and Cosmos3-Nano-Sim-Bimanual for predicting video from robot or camera actions. All four are post-trained examples of Cosmos 3 Nano with 16B trainable parameters and use OpenMDW1.1, permitting commercial and non-commercial use under its terms. The post also details a four-stage training recipe (bidirectional adaptation, teacher forcing, consistency distillation, self-forcing) and post-training guidance for adapting the models to new sensor rigs and embodiments.
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