Can the Apple M2 Pro (32GB) run Gemma 3 4B?

Apple M2 Pro (32GB) × Gemma 3 4B8K context
YesRuns fully on the GPU
Memory at FP1610.3 GB of 21.4 GB
Weights 8.6 GBKV cache 1.1 GBRuntime 0.6 GB
QuantFP16Full quality
Memory10.3 GBof 21.4 GB usable
Speed~14tokens per second
  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 3 4B fully in unified memory at FP16 (full quality), using about 10.3 GB of the 21.4 GB available, at roughly 14 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 4B:

ollama run gemma3:4b

Ollama's default download is Q4_K_M (about 4.3 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No Apple M2 Pro (32GB)? Run Gemma 3 4B in the cloud.

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

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 quality10.3 GBFits~14 tok/s
Q8_0Near-lossless6.3 GBFits~26 tok/s
Q6_KExcellent5.3 GBFits~34 tok/s
Q5_K_MVery good4.8 GBFits~39 tok/s
Q4_K_MGood, most popular4.3 GBFits~46 tok/s
Q3_K_MNoticeably degraded3.8 GBFits~57 tok/s
Q2_KHeavily degraded3.4 GBFits~74 tok/s

Frequently asked questions

Can Apple M2 Pro (32GB) run Gemma 3 4B?

Yes. The Apple M2 Pro (32GB) can run Gemma 3 4B fully in unified memory at FP16 (full quality), using about 10.3 GB of the 21.4 GB available, at roughly 14 tokens/second.

How much VRAM does Gemma 3 4B need?

About 4.3 GB at Q4_K_M with 8,192 tokens of context, and about 10.3 GB at full FP16 precision.

How fast is Gemma 3 4B on the Apple M2 Pro (32GB)?

Roughly 14 tokens per second at FP16, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.