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      "id": 15,
      "title": "Show HN: Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone",
      "source_url": "https://github.com/leonickson1/Swiftlet",
      "source_domain": "github.com",
      "permalink": "https://techflow.svetandroida.cz/en/tip/show-hn-run-an-80b-qwen-in-4-3-gb-of-ram-on-a-mac-and-a-35b-on-an-iphone",
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      "summary": "Swiftlet is a Swift and Metal runtime enabling large Qwen models to run on Apple devices with limited RAM by streaming expert weights from disk on demand while keeping only the dense model core in memory. This achieves running an 80B model with 4.3 GB of RAM on a Mac and a 35B model on an iPhone.",
      "summary_generated_by": "ai",
      "submitted_by": "Petr Mišák",
      "submitted_kind": "editor",
      "published_at": "2026-08-05T08:56:51Z",
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