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Can You Run Gemma 4 on a CPU-Only PC (128GB RAM)?

Yes — best fit is Gemma 4 31B at SFP8 (8-bit) (~30.4GB) Comfortable, using 64GB of usable memory on a 128GB CPU-Only PC.

Every Gemma 4 model on this configuration

ModelBest quantSizeStatus
Gemma 4 E2BBF16 (16-bit)~8 GB Comfortable
Gemma 4 E4BBF16 (16-bit)~15 GB Comfortable
Gemma 4 12BBF16 (16-bit)~26.7 GB Comfortable
Gemma 4 26B A4BBF16 (16-bit)~48 GB Comfortable
Gemma 4 31BSFP8 (8-bit)~30.4 GB Comfortable

How we got this verdict

128 ÷ 2 = 64GB usable (the RAM-÷-2 rule: one copy of the weights, one copy for working memory).

Because CPU-Only PC has enough RAM to spare, 31B fits at SFP8 (8-bit)— a higher-precision quant than most setups get. You don't need the 4-bit QAT build here, though it's still a safe download if you want a smaller file for a second model running alongside it.

Adding a discrete NVIDIA GPU is usually a bigger lever than more system RAM — it unlocks GPU offload and much faster tokens/sec, on top of whatever the RAM ÷ 2 rule already gives you here. See the GPU pages if a card is on the table.

Try a different configuration

🔍 Quick check: your PC with

Best fit: Gemma 4 31B · SFP8 (8-bit) · ~30.4 GB Comfortable

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

FAQ

Can a CPU-Only PC (128GB RAM) run the 31B flagship model?

Yes, comfortably — Gemma 4 31B fits at SFP8 (8-bit) (~30.4GB), using 64GB of usable memory on this configuration.

What's the best Gemma 4 model for a CPU-Only PC (128GB RAM)?

Gemma 4 31B at SFP8 (8-bit) (~30.4GB) is the best fit — it's the largest model that runs comfortably within the 64GB of usable memory here.

What if I have more or less memory than 128GB RAM?

This is the top configuration in this family — every Gemma 4 model already fits at its best available quant. With less (e.g. 64GB), the best-fitting model gets smaller or tighter — see the CPU-Only PC page.

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