Update README.md

README.md

@@ -1,3 +1,24 @@
----
-license: apache-2.0
----
+This is the distilled educational Qwen2.5-7B-Instruct based on EduBench.
+- [paper](https://arxiv.org/abs/2505.16160)
+- [github](https://github.com/DIRECT-BIT/EduBench)
+
+## Model Details
+
+**Model Name**: EDU-Qwen2.5-7B
+
+**Model Type**: Distilled instruction-tuned language model (7B parameters)
+
+**Base Model**: [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
+## Training Data
+
+To fully leverage the strengths of different response generation models across various scenarios, we adopt a multi-source distillation pipeline. 
+For each task, we select the best-performing model on the test set as the response generator, using it to answer educational domain questions and construct the training dataset for the distillation model. 
+Through the distillation pipeline, we obtain a training set of 17,000 samples covering various subtasks across all 9 educational scenarios.
+
+More details are provided in Appendix K of our [paper](https://arxiv.org/abs/2505.16160)
+
+## Performance
+<div align="center">
+  <img src="performance" alt="Framework" width="1200"/>
+  <br>
+</div>