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It was trained using the [SpecForge](https://github.com/sgl-project/SpecForge/) library on a subset of the Supervised Fine-tuning (SFT) Data from Zhihu-ai/Zhi-Create-Qwen3-32B.
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The model was trained in both thinking and non-thinking modes.
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You can
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It was trained using the [SpecForge](https://github.com/sgl-project/SpecForge/) library on a subset of the Supervised Fine-tuning (SFT) Data from Zhihu-ai/Zhi-Create-Qwen3-32B.
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The model was trained in both thinking and non-thinking modes.
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You can easily start a service using [SGLang](https://github.com/sgl-project/sglang).
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