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Can the Apple M3 Pro (36GB) run GLM-4.7 Flash 30B-A3B?

Apple M3 Pro (36GB) × GLM-4.7 Flash 30B-A3B8K context
YesRuns fully on the GPU
Memory at Q5_K_M23.2 GB of 24.1 GB
Weights 22.2 GBKV cache 0.4 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~42tokens per second
Max context23Ktokens that fit at Q5_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M3 Pro (36GB) can run GLM-4.7 Flash 30B-A3B fully in unified memory at Q5_K_M (very good), using about 23.2 GB of the 24.1 GB available, at roughly 42 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts GLM-4.7 Flash 30B-A3B:

ollama run glm-4.7-flash

Ollama's default download is Q4_K_M (about 20 GB here). You have room for Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M3 Pro (36GB)

Run it in the cloud

No Apple M3 Pro (36GB)? Run GLM-4.7 Flash 30B-A3B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24.1 GB the Apple M3 Pro (36GB) can use. macOS lets the GPU use about 24.1 GB of the 36 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality63.4 GBToo big—
Q8_0Near-lossless34.2 GBToo big—
Q6_KExcellent26.6 GBToo big—
Q5_K_MVery good23.2 GBFits~42 tok/s
Q4_K_MGood, most popular20 GBFits~49 tok/s
Q3_K_MNoticeably degraded16.3 GBFits~61 tok/s
Q2_KHeavily degraded12.7 GBFits~80 tok/s

Measured speed from real Apple M3 Pro (36GB) owners

Tokens per second that people measured on their own Apple M3 Pro (36GB), next to our estimate.

No one has measured GLM-4.7 Flash 30B-A3B on the Apple M3 Pro (36GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M3 Pro (36GB)? Add your real speed

One command times GLM-4.7 Flash 30B-A3B 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 -s -- glm-4.7-flash

Windows (PowerShell)

$env:GPUFIT_MODEL="glm-4.7-flash"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run GLM-4.7 Flash 30B-A3B comfortably

Models that run well on the Apple M3 Pro (36GB)

Frequently asked questions

Can Apple M3 Pro (36GB) run GLM-4.7 Flash 30B-A3B?

Yes. The Apple M3 Pro (36GB) can run GLM-4.7 Flash 30B-A3B fully in unified memory at Q5_K_M (very good), using about 23.2 GB of the 24.1 GB available, at roughly 42 tokens/second.

How much VRAM does GLM-4.7 Flash 30B-A3B need?

About 20 GB at Q4_K_M with 8,192 tokens of context, and about 63.4 GB at full FP16 precision.

How fast is GLM-4.7 Flash 30B-A3B on the Apple M3 Pro (36GB)?

Roughly 42 tokens per second at Q5_K_M, estimated from the Apple M3 Pro (36GB)'s 150 GB/s memory bandwidth.