Can the Mac Mini M4 run Phi-4?

Yes. Phi-4 fits the Mac Mini M4's 16 GB at Q4_K_M (about 10.3 GB needed), running at an estimated 8.1 tok/s. There's room for up to Q5_K_M if you want higher quality.

Memory
16 GB
Needs at Q4
10.3 GB
Headroom
5.7 GB
Speed (Q4_K_M)
~8.1 tok/s

Every quantization

Phi-4 (14B) on 16 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M8.5 GB10.3 GBFits~8.1 tok/s
Q5_K_M10.5 GB12.3 GBFits~6.5 tok/s
Q8_016 GB17.8 GBToo big -
FP1628 GB29.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the Mac Mini M4's 120 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

ollama run phi-4:14b
llama-server -hf microsoft/phi-4-gguf -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Phi-4 details →

Compare

Same model, other hardware - and other models on this card

Phi-4 on other hardware

Also runs on the Mac Mini M4

Frequently asked

Quick answers

Can the Apple Mac Mini M4 run Phi-4?

Yes. Phi-4 fits the Mac Mini M4's 16 GB at Q4_K_M (about 10.3 GB needed), running at an estimated 8.1 tok/s. There's room for up to Q5_K_M if you want higher quality.

How much VRAM does Phi-4 need?

About 8.5 GB of weights at Q4_K_M, 16 GB at Q8_0 and 28 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Phi-4 on the Mac Mini M4?

Roughly 8.1 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the Mac Mini M4's 120 GB/s memory bandwidth.