Gen-Verse / ReasonFlux-Coder-4B

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Total runs: 9
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Model's Last Updated: June 04 2025
text-generation

Introduction of ReasonFlux-Coder-4B

Model Details of ReasonFlux-Coder-4B

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 ).

Paper | Code

Citation

@article{wang2025cure,
  title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning},
  author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi},
  journal={arXiv preprint arXiv:2506.03136},
  year={2025}
}

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ReasonFlux-Coder-4B huggingface.co is an AI model on huggingface.co that provides ReasonFlux-Coder-4B's model effect (), which can be used instantly with this Gen-Verse ReasonFlux-Coder-4B model. huggingface.co supports a free trial of the ReasonFlux-Coder-4B model, and also provides paid use of the ReasonFlux-Coder-4B. Support call ReasonFlux-Coder-4B model through api, including Node.js, Python, http.

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ReasonFlux-Coder-4B is an open source model from GitHub that offers a free installation service, and any user can find ReasonFlux-Coder-4B on GitHub to install. At the same time, huggingface.co provides the effect of ReasonFlux-Coder-4B install, users can directly use ReasonFlux-Coder-4B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Updated:February 22 2025