Can Gemma 4 E4B run on MacBook Air M1 8GB?

NO — Won’t fit
Q4_K_M · 4K context · formula estimate

What this means

The checked Q4_K_M build needs about 6.3GB, above this Mac's conservative 5GB working budget.

−1.3GB short
above the working budget
6.3GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 6.3 GBworking budget 5 GB · short 1.3 GB
Apple M18 GB unified memoryMetalFanless

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (5 GB) + mmap overhead5.3
KV cache4K context window0.3
RuntimemacOS inference app + compute buffers0.8
Total neededQ4_K_M, 4K context6.3
Working budget8 GB unified memory − conservative macOS reserve5
Headroommemory shortfall−1.3

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
Q3_K_M4.1 GB5.4 GB Won't fit
IQ4_XS4.7 GB6 GB Won't fit
Q4_04.8 GB6.1 GB Won't fit
Q4_K_S4.8 GB6.1 GB Won't fit
Q4_K_M5 GB6.3 GB Won't fit
Q5_K_M5.5 GB6.9 GB Won't fit
Q6_K7.1 GB8.5 GB Won't fit
Q8_08.2 GB9.7 GB Won't fit

Other models on this Mac

Gemma 4 E4B on other MacBook Air M1 configurations

FAQ

Can the MacBook Air M1 · 8GB run Gemma 4 E4B?

Not with the quants currently tracked. The selected Q4_K_M build needs about 6.3GB, above the 5GB working budget.

Which Gemma 4 E4B quant should I use on this Mac?

None of the tracked quants fit this configuration safely. Choose a smaller model or a Mac with more unified memory.

Which app should I use for Gemma 4 E4B on this Mac?

Start with LM Studio. This page gives the complete point-and-click walkthrough.

Are these speeds measured on a MacBook Air M1?

No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.