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Qwen3.5 9B sparks GGUF vs MLX debate

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Qwen3.5 9B sparks GGUF vs MLX debate
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// 57d agoTUTORIAL

Qwen3.5 9B sparks GGUF vs MLX debate

A LocalLLaMA user is trying to pick the right Qwen3.5 9B build for LM Studio on an M3 Pro MacBook and asks whether GGUF or MLX is the better route. The thread reflects a familiar Apple Silicon trade-off: MLX often runs faster, while GGUF tends to be the safer bet for compatibility and reproducibility.

// ANALYSIS

For this model, format choice matters less than whether you care about speed or predictability. The real quality gap is mostly about quantization level, with higher-bit GGUFs usually holding up best when you can afford the memory.

  • Official Qwen3.5-9B is a serious 9B-class model with 262k-token context, so it is worth treating as a real local workhorse rather than a toy
  • GGUF maintainers generally point to Q6_K or Q5_K_M as the quality sweet spot; Q4_K_M is the pragmatic default when memory is tighter
  • Apple Silicon users report MLX can be much faster than GGUF, but some Qwen3.5 MLX quants have shown odd thinking-loop behavior that GGUF avoids
  • On an M3 Pro, the practical recommendation is usually to try MLX first for speed, then fall back to GGUF Q5/Q6 if you want steadier behavior or higher fidelity
// TAGS
qwen3.5-9bllminferenceself-hostedopen-source

DISCOVERED

57d ago

2026-03-31

PUBLISHED

57d ago

2026-03-31

RELEVANCE

8/ 10

AUTHOR

Rick_06