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.

• Repository: https://github.com/Oryx-mllm/Oryx
• Languages: English, Chinese
• Paper: https://arxiv.org/abs/2409.12961

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