X post:Astraia
Hypothesis on Qwen 3.8 27B Training: GRPO Replaces Traditional SFT
According to an analysis by X account Astraia, the strong performance of Qwen 3.8 27B is not driven by classic supervised fine-tuning (SFT). Instead, it relies on Group Relative Policy Optimization (GRPO) paired with liberal reasoning context limits and outputs from Qwen 3.8 Max as reinforcement learning targets.
995bookmarks122kviews