---
license: apache-2.0
base_model:
- google/siglip-so400m-patch14-384
pipeline_tag: image-classification
language:
- en
- zh
---
# 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