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Run Qwen3.6-35B-A3B Locally on a 16 GB Mac. Run large models like Qwen3.6-35B-A3B locally on a 16 GB RAM machine.
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Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
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.
2B beats 12B
Qwen 3.5 running on a $300 Android phone
github.comon-device, open source