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Oryx-ViT
THUdyh/Oryx-ViT
Oryx-ViT is a image feature extraction model from THUdyh. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
The Oryx-ViT model is trained on 200M data and can seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths. It is described in the paper Oryx MLLM: On-Demand Spatial-Temporal…
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Updated Mar 1, 2025
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893 MB
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At a glance
- Task
- Image Feature Extraction
- License
- apache-2.0
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Mar 1, 2025
- SHA
- 657aa9c2
Base models
Model card
From the Hugging Face model README
Oryx-ViT
Model Summary
The Oryx-ViT model is trained on 200M data and can seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths. It is described in the paper Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution.
- Repository: https://github.com/Oryx-mllm/Oryx
- Project Page: https://oryx-mllm.github.io
- Languages: English, Chinese
Model Architecture
- Architecture: SigLip
- Data: a mixture of 200M data, 2 epoch
- Precision: BFloat16
Hardware & Software
- Hardware: 64 * NVIDIA Tesla A100
- Orchestration: HuggingFace Trainer
- Code: Pytorch
Citation
@article{liu2024oryx,
title={Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution},
author={Liu, Zuyan and Dong, Yuhao and Liu, Ziwei and Hu, Winston and Lu, Jiwen and Rao, Yongming},
journal={arXiv preprint arXiv:2409.12961},
year={2024}
}
- Task
- Image Feature Extraction
- License
- apache-2.0
- Languages
- en, zh
- Created
- Sep 19, 2024
- Updated
- Mar 1, 2025