Chat with qwen3.6-35b-a3b-claude-4.6-opus-reasoning-distilled

# 🔥 Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled A reasoning SFT fine-tune of `Qwen/Qwen3.6-35B-A3B` on chain-of-thought (CoT) distillation mostly sourced from Claude Opus 4.6. The goal is to preserve Qwen3.6's strong agentic coding and reasoning base while nudging the model toward structured Claude Opus-style reasoning traces and more stable long-form problem solving. The training path is text-only. The Qwen3.6 base architecture includes a vision encoder, but this fine-tuning run did not train on image or video examples. - **Developed by:** @hesamation - **Base model:** `Qwen/Qwen3.6-35B-A3B` - **License:** apache-2.0 This fine-tuning run is inspired by Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled, including the notebook/training workflow style and Claude Opus reasoning-distillation direction. [](https://x.com/Hesamation) [](https://discord.gg/vtJykN3t) ## Benchmark Results The MMLU-Pro pass used 70 total questions per model: `--limit 5` across 14 MMLU-Pro subjects. Treat this as a smoke/comparative check, not a release-quality full benchmark. ...

Links

• https://huggingface.co/hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF