A new open-source project called Swiftlet enables users to run massive large language models on Apple devices with remarkably low memory requirements. The tool successfully demonstrates running an 80-billion parameter Qwen model using just 4.3 GB of RAM on a Mac, alongside a 35-billion parameter model on an iPhone. This advancement significantly lowers the hardware barrier for running powerful local AI inference on everyday consumer devices.