Rent a GPU

Can the Apple M2 Ultra (192GB) run GLM-4.7 Flash 30B-A3B?

Apple M2 Ultra (192GB) × GLM-4.7 Flash 30B-A3B8K context
YesRuns fully on the GPU
Memory at FP1663.4 GB of 144 GB
Weights 62.4 GBKV cache 0.4 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~80tokens per second
Max context198Kthe model's full window
  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 M2 Ultra (192GB) can run GLM-4.7 Flash 30B-A3B fully in unified memory at FP16 (full quality), using about 63.4 GB of the 144 GB available, at roughly 80 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 FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M2 Ultra (192GB)

Run it in the cloud

No Apple M2 Ultra (192GB)? 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 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 quality63.4 GBFits~80 tok/s
Q8_0Near-lossless34.2 GBFits~151 tok/s
Q6_KExcellent26.6 GBFits~195 tok/s
Q5_K_MVery good23.2 GBFits~225 tok/s
Q4_K_MGood, most popular20 GBFits~264 tok/s
Q3_K_MNoticeably degraded16.3 GBFits~327 tok/s
Q2_KHeavily degraded12.7 GBFits~427 tok/s

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-4.7 Flash 30B-A3B 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-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 M2 Ultra (192GB)

Frequently asked questions

Can Apple M2 Ultra (192GB) run GLM-4.7 Flash 30B-A3B?

Yes. The Apple M2 Ultra (192GB) can run GLM-4.7 Flash 30B-A3B fully in unified memory at FP16 (full quality), using about 63.4 GB of the 144 GB available, at roughly 80 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 M2 Ultra (192GB)?

Roughly 80 tokens per second at FP16, estimated from the Apple M2 Ultra (192GB)'s 800 GB/s memory bandwidth.