Can the Apple M2 Pro (32GB) run Gemma 3 4B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- 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 gemma3:4bOllama'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.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 10.3 GB | Fits | ~14 tok/s | |
| Q8_0 | Near-lossless | 6.3 GB | Fits | ~26 tok/s | |
| Q6_K | Excellent | 5.3 GB | Fits | ~34 tok/s | |
| Q5_K_M | Very good | 4.8 GB | Fits | ~39 tok/s | |
| Q4_K_M | Good, most popular | 4.3 GB | Fits | ~46 tok/s | |
| Q3_K_M | Noticeably degraded | 3.8 GB | Fits | ~57 tok/s | |
| Q2_K | Heavily degraded | 3.4 GB | Fits | ~74 tok/s |
GPUs that run Gemma 3 4B comfortably
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.