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  # Deployment Scripts for Align-DS-V (Built with Gradio)
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  This document provides instructions for deploying the Align-DS-V model for inference using Gradio.
 
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+ # Align-DS-V-72B
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+ [🏠 Homepage](https://github.com/PKU-Alignment/align-anything) | [πŸ€— Align-Anything Dataset](https://huggingface.co/datasets/PKU-Alignment/align-anything) | [πŸ€— T2T_Instruction-tuning Dataset](https://huggingface.co/datasets/PKU-Alignment/Align-Anything-Instruction-100K) | [πŸ€— TI2T_Instruction-tuning Dataset](https://huggingface.co/datasets/PKU-Alignment/Align-Anything-TI2T-Instruction-100K) | [πŸ‘ Our Official Code Repo](https://github.com/PKU-Alignment/align-anything)
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+ ## Introduction
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+ Align-DS-V-72B is an experimental vision-language model distilled from [[DeepSeek-R1-671B]](https://huggingface.co/deepseek-ai/DeepSeek-R1) using **ZeroRL** methods, based on [[Qwen2-VL-72B-Instruct]](https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct), developed by the PKU-Alignment team, focusing on enhancing reasoning capabilities by all-modality alignment.
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+ ## Citation
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+ The reproduction script for Align-DS-V will be released in the [align-anything repository](https://github.com/PKU-Alignment/align-anything).
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+ Please cite the repo if you find the model or code in this repo useful 😊
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+ ```bibtex
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+ @inproceedings{ji2024align,
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+ title={Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback},
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+ author={Jiaming Ji and Jiayi Zhou and Hantao Lou and Boyuan Chen and Donghai Hong and Xuyao Wang and Wenqi Chen and Kaile Wang and Rui Pan and Jiahao Li and Mohan Wang and Josef Dai and Tianyi Qiu and Hua Xu and Dong Li and Weipeng Chen and Jun Song and Bo Zheng and Yaodong Yang},
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+ year={2024},
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+ url={https://arxiv.org/abs/2412.15838}
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+ }
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+ ```
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  # Deployment Scripts for Align-DS-V (Built with Gradio)
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  This document provides instructions for deploying the Align-DS-V model for inference using Gradio.