Can GLM-5.3 run on MacBook Pro M3 Pro 36GB?
NO — Won’t fit
Q4_K_XL · 4K context · formula estimate
What this means
The checked Q4_K_XL build needs about 543.5GB, above this Mac's conservative 32.4GB working budget.
−511.1GB short
above the working budget
543.5GB
needed at Q4_K_XL
Q4_K_XL
quant selected
0GB
working headroom
needs 543.5 GBworking budget 32.4 GB · short 511.1 GB
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_XL GGUF (467.3 GB) + mmap overhead | 490.7 |
| KV cache | 4K context window | 52.1 |
| Runtime | macOS inference app + compute buffers | 0.8 |
| Total needed | at Q4_K_XL, 4K context | 543.5 |
| Working budget | 36 GB unified memory − conservative macOS reserve | 32.4 |
| Headroom | memory shortfall | −511.1 |
Pick your quant
| Quant | Download | Memory | Estimated speed | Verdict |
|---|---|---|---|---|
| IQ1_S | 216.7 GB | 280.4 GB | — | ✕ Won't fit |
| IQ1_M | 228.5 GB | 292.8 GB | — | ✕ Won't fit |
| IQ2_M | 238.6 GB | 303.4 GB | — | ✕ Won't fit |
| Q2_K_XL | 253.9 GB | 319.5 GB | — | ✕ Won't fit |
| IQ3_XXS | 281.7 GB | 348.7 GB | — | ✕ Won't fit |
| Q3_K_XL | 343 GB | 413 GB | — | ✕ Won't fit |
| IQ4_XS | 365.3 GB | 436.4 GB | — | ✕ Won't fit |
| Q4_K_XL ★ | 467.3 GB | 543.5 GB | — | ✕ Won't fit |
| Q8_0 | 801.4 GB | 894.4 GB | — | ✕ Won't fit |
Other models on this Mac
GLM-5.3 on other MacBook Pro M3 Pro configurations
FAQ
Can the MacBook Pro M3 Pro · 36GB run GLM-5.3?
Not with the quants currently tracked. The selected Q4_K_XL build needs about 543.5GB, above the 32.4GB working budget.
Which GLM-5.3 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 GLM-5.3 on this Mac?
Current beginner Mac apps do not load this exact file. Use Bonsai 27B 1-bit in Locally AI instead, or open the advanced publisher instructions on this page.
Are these speeds measured on a MacBook Pro M3 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.