Can the Apple M5 (16GB) run GLM-5.3 Flash 320B-A18B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, GLM-5.3 Flash 320B-A18B needs about 195.3 GB, but the Apple M5 (16GB) has 10.7 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 10.7 GB the Apple M5 (16GB) can use. macOS lets the GPU use about 10.7 GB of the 16 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 642.7 GB | Too big | — | |
| Q8_0 | Near-lossless | 341.8 GB | Too big | — | |
| Q6_K | Excellent | 263.9 GB | Too big | — | |
| Q5_K_M | Very good | 229 GB | Too big | — | |
| Q4_K_M | Good, most popular | 195.3 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 157.6 GB | Too big | — | |
| Q2_K | Heavily degraded | 121.1 GB | Too big | — |
Measured speed from real Apple M5 (16GB) owners
Tokens per second that people measured on their own Apple M5 (16GB), next to our estimate.
No one has measured GLM-5.3 Flash 320B-A18B on the Apple M5 (16GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an Apple M5 (16GB)? Add your real speed
One command times GLM-5.3 Flash 320B-A18B 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 M5 (16GB) run GLM-5.3 Flash 320B-A18B?
No. Even at Q4_K_M, GLM-5.3 Flash 320B-A18B needs about 195.3 GB, but the Apple M5 (16GB) has 10.7 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does GLM-5.3 Flash 320B-A18B need?
About 195.3 GB at Q4_K_M with 8,192 tokens of context, and about 642.7 GB at full FP16 precision.
How fast is GLM-5.3 Flash 320B-A18B on the Apple M5 (16GB)?
It does not fit in the Apple M5 (16GB)'s memory, so most layers would run from system RAM and generation would be very slow.