Can the Apple M2 Ultra (192GB) run GLM-5.3?

Apple M2 Ultra (192GB) × GLM-5.38K context
NoDoes not fit in memory
Memory at Q4_K_M457.8 GB of 144 GB
Weights 456.5 GBKV cache 0.7 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, GLM-5.3 needs about 457.8 GB, but the Apple M2 Ultra (192GB) has 144 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 144 GB the Apple M2 Ultra (192GB) can use. macOS lets the GPU use about 144 GB of the 192 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality1507.3 GBToo big—
Q8_0Near-lossless801.4 GBToo big—
Q6_KExcellent618.8 GBToo big—
Q5_K_MVery good536.9 GBToo big—
Q4_K_MGood, most popular457.8 GBToo big—
Q3_K_MNoticeably degraded369.4 GBToo big—
Q2_KHeavily degraded283.7 GBToo big—

Measured speed from real Apple M2 Ultra (192GB) owners

Tokens per second that people measured on their own Apple M2 Ultra (192GB), next to our estimate.

No one has measured GLM-5.3 on the Apple M2 Ultra (192GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M2 Ultra (192GB)? Add your real speed

One command times GLM-5.3 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 | sh

Windows (PowerShell)

irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can Apple M2 Ultra (192GB) run GLM-5.3?

No. Even at Q4_K_M, GLM-5.3 needs about 457.8 GB, but the Apple M2 Ultra (192GB) has 144 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does GLM-5.3 need?

About 457.8 GB at Q4_K_M with 8,192 tokens of context, and about 1507.3 GB at full FP16 precision.

How fast is GLM-5.3 on the Apple M2 Ultra (192GB)?

It does not fit in the Apple M2 Ultra (192GB)'s memory, so most layers would run from system RAM and generation would be very slow.