Create README.md

README.md

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+---
+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