Quick facts
- Best for
- 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
Cons
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