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--- |
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license: apache-2.0 |
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datasets: |
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- THUdyh/Oryx-Image-Data |
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base_model: |
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- Qwen/Qwen2-7B-Instruct |
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pipeline_tag: text-generation |
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language: |
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- en |
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- zh |
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--- |
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# Oryx-34B-Image |
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## Model Summary |
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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. |
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Oryx offers an on-demand solution to seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths. |
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- **Repository:** https://github.com/Oryx-mllm/Oryx |
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- **Languages:** English, Chinese |
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- **Paper:** https://arxiv.org/abs/2409.12961 |
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### Model Architecture |
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- **Architecture:** Pre-trained [Oryx-ViT](https://huggingface.co/THUdyh/Oryx-ViT) + Yi-1.5-34B |
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- **Data:** a mixture of 4M image data |
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- **Precision:** BFloat16 |
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#### Hardware & Software |
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- **Hardware:** 64 * NVIDIA Tesla A100 |
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- **Orchestration:** HuggingFace Trainer |
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- **Code:** Pytorch |
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## Citation |
