CheXmix
CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR...
Model source
- Kind
- Text model
- File size
- 5.25 GB
- Version
- vmodel
- Updated
- Sep 15, 2026
- Downloads
- 84
- Source
- Hugging Face
Source excerpt
CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR...
Sources
1 source
Sources
1 sourceVerified Aug 31
Model artifacts
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Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: cc-by-nc-4.0 language: - en library_name: chexmix pipeline_tag: any-to-any --- # CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR findings 2026). [[💻 Github]](https://github.com/StanfordMIMI/CheXmix) [[📄 Paper]](https://arxiv.org/abs/2604.22989) ## ⚡️ Installation For an editable installation, use the following commands to clone and install this repository. ```python git clone https://github.com/StanfordMIMI/CheXmix.git cd CheXmix pip install -e . ``` For usage instructions, please visit the github [repository](https://github.com/StanfordMIMI/CheXmix). ## 📁 Project Structure: ``` . ├── README.md ├── model.safetensors <CheXmix (S1 + S2) checkpoint> ├── vqgan.ckpt <Image Tokenizer checkpoint> ``` ## 📎 Citation If you find this repository useful for your work, please cite the cite the [paper](https://arxiv.org/abs/2604.22989): ```bibtex @inproceedings{kumar2026chexmix, author = {Kumar, Ashwin and Holland, Robbie and Barrett, Corey and Kim, Jangwon and Varma, Maya and Chen, Zhihong and Gao, Yunhe and Zaharchuk, Greg and Taghavi, Tara and Kenthapadi, Krishnaram and Chaudhari, Akshay}, title = {CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings}, pages = {9466--9476}, year = {2026}, note = {arXiv preprint arXiv:2604.22989} } ```
Source context: 84 downloads · 1 likes · Pipeline any-to-any · Library chexmix · Repo stanfordmimi/CheXmix
