Can the Apple M2 Pro (32GB) run GLM-5 744B-A40B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, GLM-5 744B-A40B needs about 452.4 GB, but the Apple M2 Pro (32GB) has 21.4 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it in the cloud
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Memory needed by quantization
At 8,192 tokens of context. The black line marks the 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 1489.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 791.8 GB | Too big | — | |
| Q6_K | Excellent | 611.4 GB | Too big | — | |
| Q5_K_M | Very good | 530.5 GB | Too big | — | |
| Q4_K_M | Good, most popular | 452.4 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 365 GB | Too big | — | |
| Q2_K | Heavily degraded | 280.3 GB | Too big | — |
Measured speed from real Apple M2 Pro (32GB) owners
Tokens per second that people measured on their own Apple M2 Pro (32GB), next to our estimate.
No one has measured GLM-5 744B-A40B on the Apple M2 Pro (32GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an Apple M2 Pro (32GB)? Add your real speed
One command times GLM-5 744B-A40B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | shWindows (PowerShell)
irm https://gpufit.dev/bench.ps1 | iexFrequently asked questions
Can Apple M2 Pro (32GB) run GLM-5 744B-A40B?
No. Even at Q4_K_M, GLM-5 744B-A40B needs about 452.4 GB, but the Apple M2 Pro (32GB) has 21.4 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does GLM-5 744B-A40B need?
About 452.4 GB at Q4_K_M with 8,192 tokens of context, and about 1489.3 GB at full FP16 precision.
How fast is GLM-5 744B-A40B on the Apple M2 Pro (32GB)?
It does not fit in the Apple M2 Pro (32GB)'s memory, so most layers would run from system RAM and generation would be very slow.