Can DeepSeek V4 Flash 0731 run on Mac mini M5 Pro 32GB?
NO — Won’t fit
Q4_K_XL · 4K context · formula estimate
What this means
The checked Q4_K_XL build needs about 163.8GB, above this Mac's conservative 28.8GB working budget.
−135GB short
above the working budget
163.8GB
needed at Q4_K_XL
Q4_K_XL
quant selected
0GB
working headroom
needs 163.8 GBworking budget 28.8 GB · short 135 GB
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_XL GGUF (155.1 GB) + mmap overhead | 162.9 |
| KV cache | 4K context window | 0.2 |
| Runtime | macOS inference app + compute buffers | 0.8 |
| Total needed | at Q4_K_XL, 4K context | 163.8 |
| Working budget | 32 GB unified memory − conservative macOS reserve | 28.8 |
| Headroom | memory shortfall | −135 |
Pick your quant
| Quant | Download | Memory | Estimated speed | Verdict |
|---|---|---|---|---|
| IQ1_S | 82.5 GB | 87.6 GB | — | ✕ Won't fit |
| IQ1_M | 86.9 GB | 92.2 GB | — | ✕ Won't fit |
| IQ2_M | 90.9 GB | 96.4 GB | — | ✕ Won't fit |
| IQ2_XXS | 90.9 GB | 96.4 GB | — | ✕ Won't fit |
| Q2_K_XL | 96.8 GB | 102.6 GB | — | ✕ Won't fit |
| IQ3_XXS | 104.2 GB | 110.4 GB | — | ✕ Won't fit |
| IQ3_S | 116.1 GB | 122.9 GB | — | ✕ Won't fit |
| Q3_K_M | 128.1 GB | 135.5 GB | — | ✕ Won't fit |
| Q3_K_XL | 128.2 GB | 135.6 GB | — | ✕ Won't fit |
| IQ4_NL | 136.7 GB | 144.5 GB | — | ✕ Won't fit |
| IQ4_XS | 136.7 GB | 144.5 GB | — | ✕ Won't fit |
| Q4_K_XL ★ | 155.1 GB | 163.8 GB | — | ✕ Won't fit |
| Q8_K_XL | 161.9 GB | 171 GB | — | ✕ Won't fit |
Other models on this Mac
DeepSeek V4 Flash 0731 on other Mac mini M5 Pro configurations
FAQ
Can the Mac mini M5 Pro · 32GB run DeepSeek V4 Flash 0731?
Not with the quants currently tracked. The selected Q4_K_XL build needs about 163.8GB, above the 28.8GB working budget.
Which DeepSeek V4 Flash 0731 quant should I use on this Mac?
None of the tracked quants fit this configuration safely. Choose a smaller model or a Mac with more unified memory.
Which app should I use for DeepSeek V4 Flash 0731 on this Mac?
Start with Unsloth Desktop. This page gives the complete point-and-click walkthrough.
Are these speeds measured on a Mac mini M5 Pro?
No. The displayed range remains a formula estimate for the tracked Unsloth IQ3 GGUF. Public M4 Max 128GB records range from about 8 tokens/s for stock llama.cpp on that IQ3 path to roughly 23–47 tokens/s for different, custom Q2 runtimes. Those are calibration evidence, not AICanRun verified benchmarks.