[available] ai engineer fine tuned qwen 2.6 with opus thinking tokens on his mac on mlx
I fine-tuned a 27-billion parameter Qwen 3.6 model with Claude Opus-level reasoning entirely on a 36GB Mac, no cloud GPUs. The industry says you need A100s for this. I wrote 11 custom memory optimizations freezing 75% of layers, nuking GPU cache every training step, building an autodiff-safe loss function to prevent gradient corruption and got peak memory down to 25.6GB. The model is distilled from 14,000+ Claude Opus reasoning samples and is live on HuggingFace.