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Community Wave: Qwen3.5 Models Distilled from Claude 4.6 Opus (2B–27B) — Runs 9+ Minutes Autonomously in Coding Agents
Multiple community contributors have distilled Claude 4.6 Opus reasoning chains into Qwen3.5 base models (2B, 4B, 9B, 27B) via Unsloth SFT. The 27B model fixes a Jinja template crash for the 'developer' role, preserves thinking mode, and runs autonomously for 9+ minutes in Claude Code and OpenCode — versus the base model that stalls mid-execution. Q4_K_M quantization uses ~16.5GB VRAM at 29–35 tok/s with full 262K context. The top post hit 1,136 upvotes and 168 comments on r/LocalLLaMA.
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