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Can You Run Gemma 4 on a MacBook Pro (16GB)?

Yes — best fit is Gemma 4 12B at Q4_0 (4-bit) (~6.7GB) Comfortable, using 11GB of usable memory on a 16GB MacBook Pro.

Every Gemma 4 model on this configuration

ModelBest quantSizeStatus
Gemma 4 E2BBF16 (16-bit)~8 GB Comfortable
Gemma 4 E4BSFP8 (8-bit)~7.5 GB Comfortable
Gemma 4 12BQ4_0 (4-bit)~6.7 GB Comfortable
Gemma 4 26B A4B Won't fit
Gemma 4 31B Won't fit

How we got this verdict

16 - 5 = 11GB usable (macOS and background processes reserve roughly 5 GB of unified memory).

12B lands on Q4_0 here, so grab the official QAT (quantization-aware training) checkpoint instead of a generic Q4_0 quant. Google shipped a full-quality QAT build for 12B at essentially the same ~7.2GB download size, with noticeably better output quality than a naive 4-bit quant. See the QAT guide for exact file names.

Going up to 18GB (18GB) doesn't change the top recommendation — 12B is still the best fit, just with more headroom.

Try a different configuration

🔍 Quick check: your MacBook Pro with

Best fit: Gemma 4 12B · Q4_0 (4-bit) · ~6.7 GB Comfortable

31B 26B A4B 12B E4B E2B
Full breakdown for every model & quant →

FAQ

Can a MacBook Pro (16GB) run the 31B flagship model?

No — the 31B model needs at least 17.4GB usable memory even at Q4_0, and this configuration only has 11GB usable. Gemma 4 12B is the largest model that fits here.

What's the best Gemma 4 model for a MacBook Pro (16GB)?

Gemma 4 12B at Q4_0 (4-bit) (~6.7GB) is the best fit — it's the largest model that runs comfortably within the 11GB of usable memory here.

What if I have more or less memory than 16GB?

With more (e.g. 18GB), you can run larger models or the same model more comfortably — see the MacBook Pro page. This is already close to the practical floor for running Gemma 4 at all.

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