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README.md

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-license: mit
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+---
+license: mit
+library_name: transformers
+---
+
+<p align="center">
+  <img src="https://github.com/yinjjiew/Data/raw/main/cure/results.png" width="100%"/>
+</p>
+
+
+
+# Introduction to our ReasonFlux-Coders
+
+We introduce **ReasonFlux-Coders**, trained with **CURE**, our algorithm for co-evolving an LLM's coding and unit test generation abilities.
+
+* **ReasonFlux-Coder-7B** and **ReasonFlux-Coder-14B** outperform similarly sized Qwen Coders, DeepSeek Coders, and Seed-Coders, and naturally integrate into common test-time scaling and agentic coding pipelines.
+* **ReasonFlux-Coder-4B** is our Long-CoT model, outperforming Qwen3-4B while achieving 64.8% efficiency in unit test generation. We have demonstrated its ability to serve as a reward model for training base models via reinforcement learning (see our [paper](https://arxiv.org/abs/2505.15809)).
+
+
+[Paper](https://arxiv.org/abs/2505.15809) | [Code](https://github.com/Gen-Verse/CURE)
+
+# Citation
+
+```
+```