🪐 Qwen3.5 9B GLM5.1 Distill v1 📌 Model Overview Model Name: Jackrong/Qwen3.5 9B GLM5.1 Distill v1 Base Model: Qwen3.5 9B Training Type: Supervised Fine Tuning (SFT, Distillation) Parameter Scale: 9B Training Framework: Unsloth This model is a distilled variant of Qwen3.5 9B , trained on high quality reasoning data derived from GLM 5.1 . The primary goals are to: Improve structured reasoning ability Enhance instruction following consistency Activate latent knowledge via better reasoning structure 📊 Training Data Main Dataset Jackrong/GLM 5.1 Reasoning 1M Cleaned Cleaned from the original Kassadin88/GLM 5.1 1000000x dataset. Generated from a GLM 5.1 teacher model Approximately 700x the scale of Qwen3.5 reasoning 700x Training used a filtered subset , not the full source dataset. Auxiliary Dataset Jackrong/Qwen3.5 reasoning 700x [!IMPORTANT] Training used Jackrong/GLM 5.1 Reasoning 1M Cleaned , a cleaned derivative of Kassadin88/GLM 5.1 1000000x . Special thanks to Kassadin88 ❤️ for the original dataset. Please support the original author with a follow and a like. Only a quality filtered subset was used for distillation, rather than the full original dataset. 🗺️ Training Pipeline…
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