Qwen3.6 27B DSV4Pro Thinking Distill Lynn Agent edge runtime This 27B distillation family is the recommended local reasoning model source for Lynn Agent . For desktop and edge use, Lynn recommends the GGUF sibling repo and defaults to Qwen3.6 27B DSV4Pro Distill MTP Q5 K M imatrix.gguf in v0.85.6+. Download Lynn Agent : GitHub Releases (current desktop/CLI release: v0.85.6) Recommended edge GGUF : Hugging Face 27B GGUF / ModelScope 27B GGUF Lynn default quant : Q5 K M imatrix + native MTP; lower config users can manually downgrade to 9B / 4B in Lynn settings. 🇬🇧 English · 🇨🇳 中文 ⬇️ 🇬🇧 English On Qwen3.6 27B ( Dense , 64 layers, Gated DeltaNet linear/full attention hybrid), we use LoRA to distill the way DeepSeek V4 Pro reasons (with thinking on) plus its agentic behavior . This is the Dense counterpart of the 35B A3B (MoE) sister model : same R6000 GPU, same teacher, same recipe, swapped onto a Dense architecture — proving the gains come from the distilled thinking style , not an MoE architectural bonus . A native MTP head is welded on for single stream acceleration. ⚠️ Distilling a thinking style ≠ distilling knowledge/capability : the goal is "learn how to reason and how to…
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