Can Fara 1.5 9B run on MacBook Neo A18 Pro 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
Apple A18 Pro8 GB unified memoryMetalFanless

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

FAQ

Can the MacBook Neo A18 Pro · 8GB run Fara 1.5 9B?

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

Which Fara 1.5 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 Fara 1.5 9B on this Mac?

Fara 1.5 9B is a task-specific model, not a normal local chat download. The selected weights do not fit this Mac, and the model also needs its publisher's intended workflow. This page links that repository and recommends Llama 3.2 3B if you just want local chat.

Are these speeds measured on a MacBook Neo A18 Pro?

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.