Qwen3.5-9B-RL-IF-MATH-LOGIC is a post-trained model built on Qwen3.5-9B. It was developed through supervised fine-tuning (SFT) on task-relevant non-thinking data, followed by two sequential stages of reinforcement learning with verifiable rewards (RLVR) using NGRPO: Negative-enhanced Group Relative Policy Optimization. The first RLVR stage focuses on mathematical reasoning with wflying/math-rlvr-15k. The second stage continues from that checkpoint on wflying/rl-if-math-logic-46k, a mixture of instruction following, mathematics, and logical/table reasoning. The released model is the output of the second RLVR stage. Under the reported non-thinking evaluation setup, the model achieves a mean…
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Wangfei
wflying
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Models on Hugging Face4
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