Model Detail
Cosmos-Reason2-2B
—Cosmos-Reason2-2B is a multimodal model with 2B parameters released by NVIDIA. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
Cosmos-Reason2-2B ships with 2B parameters. Total weight footprint is approximately 2.4 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the other license, which means a manual approval step before weights can be downloaded.
Downloads of Cosmos-Reason2-2B have moved -31.3% over the trailing seven days, -31.3% over the trailing thirty days. The decline is steep, which typically signals a newer release displacing this checkpoint or a known issue surfacing in the community. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
Cosmos-Reason2-2B is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication
arXiv:2605.11165v4 Announce Type: replace Abstract: Federated learning (FL) in heterogeneous environments remains challenging because client models often differ in both architecture and data distribution. While recent approaches attempt to address this challenge through client clustering and knowled
NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics
Introducing Cosmos 3 Edge
Cosmos 3: Omnimodal World Models for Physical AI
arXiv:2606.02800v4 Announce Type: replace-cross Abstract: We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly flexible input-