Can DeepSeek V4 Flash Vision Exp run on Mac mini M5 Pro 24GB?
NO — Won’t fit
Q4_K_XL · 4K context · formula estimate
What this means
The checked Q4_K_XL build needs about 183.5GB, above this Mac's conservative 21GB working budget.
−162.5GB short
above the working budget
183.5GB
needed at Q4_K_XL
Q4_K_XL
quant selected
0GB
working headroom
needs 183.5 GBworking budget 21 GB · short 162.5 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 | 19.9 |
| Runtime | macOS inference app + compute buffers | 0.8 |
| Total needed | at Q4_K_XL, 4K context | 183.5 |
| Working budget | 24 GB unified memory − conservative macOS reserve | 21 |
| Headroom | memory shortfall | −162.5 |
Pick your quant
| Quant | Download | Memory | Estimated speed | Verdict |
|---|---|---|---|---|
| IQ1_S | 82.4 GB | 107.2 GB | — | ✕ Won't fit |
| IQ1_M | 86.9 GB | 111.9 GB | — | ✕ Won't fit |
| IQ2_XXS | 90.7 GB | 115.9 GB | — | ✕ Won't fit |
| Q2_K_XL | 96.8 GB | 122.3 GB | — | ✕ Won't fit |
| IQ3_XXS | 103 GB | 128.8 GB | — | ✕ Won't fit |
| IQ3_S | 114.4 GB | 140.8 GB | — | ✕ Won't fit |
| Q3_K_XL | 128.2 GB | 155.3 GB | — | ✕ Won't fit |
| IQ4_XS | 136.7 GB | 164.2 GB | — | ✕ Won't fit |
| Q4_K_XL ★ | 155.1 GB | 183.5 GB | — | ✕ Won't fit |
| Q8_K_XL | 161.9 GB | 190.7 GB | — | ✕ Won't fit |
Other models on this Mac
DeepSeek V4 Flash Vision Exp on other Mac mini M5 Pro configurations
FAQ
Can the Mac mini M5 Pro · 24GB run DeepSeek V4 Flash Vision Exp?
Not with the quants currently tracked. The selected Q4_K_XL build needs about 183.5GB, above the 21GB working budget.
Which DeepSeek V4 Flash Vision Exp 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 Vision Exp on this Mac?
Start with LM Studio. This page gives the complete point-and-click walkthrough.
Are these speeds measured on a Mac mini M5 Pro?
No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.