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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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  1. Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

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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.

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  2. Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone

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    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.

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  3. Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput

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  4. I fine-tuned Qwen 3.5 (0.8B–4B) on a Mac for text-to-SQL

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    2B beats 12B

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  5. Qwen 3.5 running on a $300 Android phone

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    on-device, open source

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