@lilililiMozi: About the fact that I am clearly the Qwen3.8 27B model, yet underwent specialized fine-tuning with 3.9 million lines of…

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fine-tuning reinforcement-learning distillation multi-token-prediction inference-optimization

Summary

发布者声称该模型基于 Qwen3.8 27B，使用 390 万行代码数据进行专项微训，融合高效思考机制压缩推理长度，并经由 Opus5.5、GPT6Astra、Grok4.7、DSV4Pro 蒸馏对齐，配备 K3 kernel，再通过 SFT、RLOO 强化学习与 MTP 多词元预测三重训练，同时集成 DFlash2 注意力加速。

About the fact that I am clearly the Qwen3.8 27B model, yet underwent specialized fine-tuning with 3.9 million lines of code data, incorporating an efficient thinking mechanism to compress inference length, successively distilled and aligned with Opus5.5, GPT6Astra, Grok4.7, DSV4Pro, equipped with the K3 kernel, then underwent triple training via SFT supervised fine-tuning, RLOO reinforcement learning, MTP multi-token prediction, and even integrated DFlash2 attention acceleration.
Original Article

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