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README.md

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@@ -8,6 +8,7 @@ Cosmos-Reason1 is a suite of models, ontologies, and benchmarks that we develop
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## News
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* 2025-08-08: We added the [`cosmos-reason1-utils`](cosmos_reason1_utils/README.md) inference utilities package. Adds spatial-temporal reasoning inference. See [Inference](#inference) for example usage.
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* 2025-08-1: We added support for spatial-temporal reasoning for city and industrial operations. See latest checkpoint [Cosmos-Reason1-7B](https://huggingface.co/nvidia/Cosmos-Reason1-7B).
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* 2025-06-11: We enhance the model’s capability on judging the physical plausibility of a video. See [this tutorial](examples/video_critic/README.md) for details.
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* 2025-05-17: We release model weights and training data under [Hugging Face](https://huggingface.co/collections/nvidia/cosmos-reason1-67c9e926206426008f1da1b7).
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The [nvidia-cosmos/cosmos-rl](https://github.com/nvidia-cosmos/cosmos-rl) repository is an async post-training framework specialized for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). It prioritizes performance, scalability, and fault tolerance.
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To support a custom dataset format, use the [minimal Hugging Face example](examples/post_training_hf/README.md) as a template.
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## Additional Resources
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The Cosmos-Reason1 model is based on the Qwen2.5-VL model architecture. Useful resources:
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* [Repository](https://github.com/QwenLM/Qwen2.5-VL/blob/main/README.md)
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## License and Contact
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This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.

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