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Can the Apple M2 Pro (32GB) run Gemma 4 26B-A4B?

Apple M2 Pro (32GB) × Gemma 4 26B-A4B8K context
YesRuns fully on the GPU
Memory at Q5_K_M19.2 GB of 21.4 GB
Weights 18.4 GBKV cache 0.3 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~44tokens per second
Max context217Ktokens 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 M2 Pro (32GB) can run Gemma 4 26B-A4B fully in unified memory at Q5_K_M (very good), using about 19.2 GB of the 21.4 GB available, at roughly 44 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 4 26B-A4B:

ollama run gemma4:26b

Ollama's default download is Q4_K_M (about 16.5 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 M2 Pro (32GB)

Run it in the cloud

No Apple M2 Pro (32GB)? Run Gemma 4 26B-A4B 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 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.

QuantQualityMemoryFits?Speed
FP16Full quality52.5 GBToo big—
Q8_0Near-lossless28.3 GBToo big—
Q6_KExcellent22 GBToo big—
Q5_K_MVery good19.2 GBFits~44 tok/s
Q4_K_MGood, most popular16.5 GBFits~52 tok/s
Q3_K_MNoticeably degraded13.5 GBFits~65 tok/s
Q2_KHeavily degraded10.6 GBFits~84 tok/s

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 Gemma 4 26B-A4B 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 Gemma 4 26B-A4B 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 -- gemma4:26b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:26b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 4 26B-A4B comfortably

Models that run well on the Apple M2 Pro (32GB)

Frequently asked questions

Can Apple M2 Pro (32GB) run Gemma 4 26B-A4B?

Yes. The Apple M2 Pro (32GB) can run Gemma 4 26B-A4B fully in unified memory at Q5_K_M (very good), using about 19.2 GB of the 21.4 GB available, at roughly 44 tokens/second.

How much VRAM does Gemma 4 26B-A4B need?

About 16.5 GB at Q4_K_M with 8,192 tokens of context, and about 52.5 GB at full FP16 precision.

How fast is Gemma 4 26B-A4B on the Apple M2 Pro (32GB)?

Roughly 44 tokens per second at Q5_K_M, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.