Can I run it?
Can I run GLM 5.3 on Apple M4 Max (40-core GPU)?
Won't fit
Won't fit on Apple M4 Max (40-core GPU). The smallest quant UD-IQ1_S is 201.8 GB before KV cache, and usable memory is 36.0 GB.
Best quantUD-IQ1_S
Working context—
Max that fits—
Speed—
Weights201.8 GB
KV cache0.00 GB
Total0.00 GB
Usable36.0 GB
GLM 5.3 details · Apple M4 Max (40-core GPU) page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/GLM-5.3-GGUF:UD-IQ1_S -c 2048 -ngl 0
Ollama
ollama run glm-5.3
LM Studio
lms get unsloth/GLM-5.3-GGUF # Then load quant UD-IQ1_S
Assumptions
- Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- No display reserve on this device.
- Usable memory for this profile is 36.0 GB.
Models that fit this machine more comfortably
- Can I run Mistral Medium 3.5 128B on Apple M4 Max (40-core GPU)? — Tight fit, UD-IQ2_XXS, 8.2–11 tok/s
- Can I run Mistral Small 4 119B 2603 on Apple M4 Max (40-core GPU)? — Tight fit, UD-IQ2_XXS, 46–63 tok/s
- Can I run Llama 4 Scout 17B 16E Instruct on Apple M4 Max (40-core GPU)? — Tight fit, UD-IQ1_M, 33–45 tok/s
Updated 2026-10-24. Profile on this page is the device default.