Can GRM 3.2 Cliff 9B 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 7.7GB, above this Mac's conservative 5GB working budget.

−2.7GB short
above the working budget
7.7GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 7.7 GBworking budget 5 GB · short 2.7 GB

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (5.9 GB) + mmap overhead6.2
KV cache4K context window0.7
RuntimemacOS inference app + compute buffers0.8
Total neededat Q4_K_M, 4K context7.7
Working budget8 GB unified memory − conservative macOS reserve5
Headroommemory shortfall−2.7

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
Q2_K4.1 GB5.8 GB Won't fit
Q3_K_M4.9 GB6.6 GB Won't fit
IQ4_XS5.2 GB6.9 GB Won't fit
Q4_05.5 GB7.2 GB Won't fit
Q4_K_S5.6 GB7.3 GB Won't fit
Q4_K_M5.9 GB7.7 GB Won't fit
Q5_K_M6.9 GB8.7 GB Won't fit
Q6_K7.7 GB9.5 GB Won't fit
Q8_09.5 GB11.4 GB Won't fit

Other models on this Mac

GRM 3.2 Cliff 9B on other MacBook Air M1 configurations

FAQ

Can the MacBook Air M1 · 8GB run GRM 3.2 Cliff 9B?

Not with the quants currently tracked. The selected Q4_K_M build needs about 7.7GB, above the 5GB working budget.

Which GRM 3.2 Cliff 9B 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 GRM 3.2 Cliff 9B 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.