Can Fara 1.5 27B run on Mac mini M6 16GB?

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

What this means

The checked Q4_K_M build needs about 21.1GB, above this Mac's conservative 13GB working budget.

−8.1GB short
above the working budget
21.1GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 21.1 GBworking budget 13 GB · short 8.1 GB
Apple M616 GB unified memoryMetalActive cooling

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (17.5 GB) + mmap overhead18.4
KV cache4K context window1.9
RuntimemacOS inference app + compute buffers0.8
Total neededat Q4_K_M, 4K context21.1
Working budget16 GB unified memory − conservative macOS reserve13
Headroommemory shortfall−8.1

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
Q2_K11.6 GB14.9 GB Won't fit
Q3_K_M14.4 GB17.8 GB Won't fit
IQ4_XS15.3 GB18.8 GB Won't fit
Q4_016.1 GB19.6 GB Won't fit
Q4_K_S16.5 GB20 GB Won't fit
Q4_K_M17.5 GB21.1 GB Won't fit
Q5_K_M20.5 GB24.2 GB Won't fit
Q6_K23.2 GB27.1 GB Won't fit
Q8_028.7 GB32.8 GB Won't fit

Other models on this Mac

Fara 1.5 27B on other Mac mini M6 configurations

FAQ

Can the Mac mini M6 · 16GB run Fara 1.5 27B?

Not with the quants currently tracked. The selected Q4_K_M build needs about 21.1GB, above the 13GB working budget.

Which Fara 1.5 27B 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 27B on this Mac?

Fara 1.5 27B 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 Mac mini M6?

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.