---
license: apache-2.0
datasets:
- THUdyh/Oryx-Image-Data
base_model:
- Qwen/Qwen2-7B-Instruct
pipeline_tag: text-generation
---
# Oryx-34B-Image

## Model Summary

The Oryx-Image models are 7/34B parameter models trained on [Oryx-Image-Data](https://huggingface.co/datasets/THUdyh/Oryx-Image-Data), based on Qwen2 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/liuzuyan/oryx
- **Languages:** English, Chinese
- **Paper:** Coming Soon


### Model Architecture

- **Architecture:** Pre-trained [Oryx-ViT](https://huggingface.co/THUdyh/Oryx-ViT) + Yi-1.5-34B
- **Data:** a mixture of 4M image data
- **Precision:** BFloat16

#### Hardware & Software

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

## Citation