Can Llama 3.3 70B 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 50.3GB, above this Mac's conservative 13GB working budget.

−37.3GB short
above the working budget
50.3GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 50.3 GBworking budget 13 GB · short 37.3 GB
Apple M616 GB unified memoryMetalActive cooling

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (42.5 GB) + mmap overhead44.6
KV cache4K context window4.9
RuntimemacOS inference app + compute buffers0.8
Total neededat Q4_K_M, 4K context50.3
Working budget16 GB unified memory − conservative macOS reserve13
Headroommemory shortfall−37.3

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
Q2_K26.4 GB33.4 GB Won't fit
Q3_K_M34.3 GB41.7 GB Won't fit
IQ4_XS37.9 GB45.5 GB Won't fit
Q4_040.1 GB47.8 GB Won't fit
Q4_K_S40.3 GB48 GB Won't fit
Q4_K_M42.5 GB50.3 GB Won't fit
Q5_K_M49.9 GB58.1 GB Won't fit
Q6_K57.9 GB66.5 GB Won't fit
Q8_075 GB84.5 GB Won't fit

Other models on this Mac

Llama 3.3 70B on other Mac mini M6 configurations

FAQ

Can the Mac mini M6 · 16GB run Llama 3.3 70B?

Not with the quants currently tracked. The selected Q4_K_M build needs about 50.3GB, above the 13GB working budget.

Which Llama 3.3 70B 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 Llama 3.3 70B on this Mac?

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

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.