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  "text": "Very bullish on open source and local models \n\nImagine running near-Opus-level model locally on that $600, 16GB Mac Mini you bought last month\n\nThis 27B Qwen3.5 distill was trained on Claude 4.6 Opus reasoning traces and is putting up real numbers:\n\n- beats Claude Sonnet 4.5 on SWE-bench\n- keeps 96.91% HumanEval\n- cuts CoT (chain of thought) bloat by 24%\n- runs in 4-bit quantization\n\nWhy this matters:\n\nlocal agent loops get a lot cheaper, faster, and more usable.\n\nfrontier models aren’t going to keep subsidizing cheap tokens on subscriptions forever\n\n300K+ downloads already on HF\nLink below 👇🏻\n\nWe’re early",
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