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This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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This model is fine-tuned Qwen model using a custom reinforcement learning (RL) framework that rewards the model for producing solutions passing automated test cases — similar to the process of programming task evaluation on LeetCode.
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65905af887944e494e37e09a/s4drmYGEYWZyt2ZUkxIpI.png" width="300">
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Instead of relying on labeled ground truth answers, the model learns through test-case-based rewards, promoting generalization and reasoning ability in algorithmic problem-solving.
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