User runs Qwen Flash Next Q4 on Mac Mini M5 with SSD streaming
A Reddit user detailed how they ran Qwen Flash Next Q4, a 125 billion parameter open-weight model, on a Mac Mini M5 with 64GB RAM and SSD streaming. The setup leverages hybrid linear attention and an n-gram lookup table to improve efficiency, with key optimizations including carousel buffering (+30% prompt processing speed) and dual SSD concurrency (+15% speed for read/write).
Key points
- Carousel buffering boosts prompt processing by +30%, dual SSDs add +15% read/write speed, but short prompts (<1k tokens) see no benefit
- User replaces Claude Sonnet for local AI assistant with tools and runs 8+ hour coding sessions at no incremental cost
The user reported practical use cases like replacing Claude Sonnet for a private AI assistant with tool integrations (browser, Google MCP) and running 8+ hour coding sessions. Testing involved real-world workflows—120 agent turns, 80 unseen prompts, and 12 long prompts—with quality measured against a 20-task exam (18/20 score). The project notes ongoing issues with speculative decoding consistency and highlights room for further engine improvements, such as GPU utilization during writing (currently 40% idle).
The story so far
4 episodes →- User runs Qwen Flash Next Q4 on Mac Mini M5 with SSD streamingthis story
I got Qwen Flash Next Q4 running on a Mac Mini m5 64gb with ssd streaming
freshworktree.com · 5 October 2026
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