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Swiftlet - Run Large Qwen Models on Apple Devices

Other· 4.5·0 saves·Free

Swiftlet is a free AI tool. Swiftlet - Run Large Qwen Models on Apple Devices. Editors list 6 strengths on this page, next to the published price.

Quick facts

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Swiftlet - Run Large Qwen Models on Apple Devices
Pricing
Free
Editor rating
4.5 / 5
Community saves
0

About Swiftlet

Swiftlet is an open-source AI developer tool for running large Qwen mixture-of-experts models locally on Apple devices with low RAM. GitHub describes it as Swiftlet is a Swift and Metal runtime that runs large Qwen Mixture-of-Experts models locally on Apple devices by streaming expert weights from storage, enabling 35B and 80B models to run with low RAM, including on iPhone.. The listing summarizes source-backed setup context, public repository signals, practical use cases, and tradeoffs for builders evaluating whether to run it locally or inside their own workflow.

Pros

  • Swift and Metal runtime for local model execution
  • Streams expert weights from storage to reduce RAM pressure
  • Targets large Qwen mixture-of-experts models
  • Supports experiments on Macs and lower-memory Apple devices
  • Open-source Apache-2.0 repository
  • Focused alternative to cloud-only inference for supported models

Pricing

Open source
$0
  • • Source code available on GitHub
  • • No listed SaaS subscription for the repository
  • • Users pay for their own compute, model APIs, hosting, or hardware