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GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

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# Backgraound To establish GraphGen as an essential tool for training and evaluation data synthesis, its development roadmap focuses on two core pillars: implementing a robust, multi-dimensional **data quality assessment**...

documentation

Hi @ChenZiHong-Gavin 🤗 I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to...

enhancement

## Cannot download result on OpenXLab This is https vs http problem. Just use https://g-app-center-120612-6433-jpdvmvp.openxlab.space instead of https://openxlab.org.cn/apps/detail/chenzihonga/GraphGen Or you can: **STEP1.** right-click download button and "**copy link**" ![Image](https://github.com/user-attachments/assets/4d41455b-1a98-4c7e-8522-3a41b6219180) **STEP2.**...

documentation

## Result Here is our final train result which **50% SFT data comes from GraphGen**. | Domain | Dataset | our-7B-model | Qwen2.5-7B-Instruct | | :-: | :-: | :-:...

documentation

![Image](https://github.com/user-attachments/assets/3024e9bc-5d45-45f8-a4e6-b57bd2350d84)