README.md

---
license: apache-2.0
datasets:
- THUdyh/Oryx-Image-Data
base_model:
- Qwen/Qwen2.5-32B-Instruct
pipeline_tag: text-generation
language:
- en
- zh
---
# Oryx-1.5-7B-Image

## Model Summary

The Oryx-Image models are 7/32B parameter models trained based on Qwen2.5 language model with a context window of 32K tokens.

Oryx offers an on-demand solution to 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:** Pre-trained [Oryx-ViT](https://huggingface.co/THUdyh/Oryx-ViT) + Qwen2.5-32B
- **Data:** a mixture of 4M image data
- **Precision:** BFloat16

#### Hardware & Software

- **Hardware:** 64 * NVIDIA Tesla A100
- **Orchestration:** HuggingFace Trainer
- **Code:** Pytorch

## Citation