Can the MacBook Pro 16" M4 Max run Phi-4?

Yes. Phi-4 fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 10.3 GB needed), running at an estimated 37 tok/s. There's room for up to FP16 if you want higher quality.

Memory
48 GB
Needs at Q4
10.3 GB
Headroom
37.7 GB
Speed (Q4_K_M)
~37 tok/s

Every quantization

Phi-4 (14B) on 48 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M8.5 GB10.3 GBFits easily~37 tok/s
Q5_K_M10.5 GB12.3 GBFits easily~30 tok/s
Q8_016 GB17.8 GBFits easily~20 tok/s
FP1628 GB29.8 GBFits~11 tok/s

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the MacBook Pro 16" M4 Max's 546 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 →

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

Phi-4 on other hardware

Also runs on the MacBook Pro 16" M4 Max

Frequently asked

Quick answers

Can the Apple MacBook Pro 16" M4 Max run Phi-4?

Yes. Phi-4 fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 10.3 GB needed), running at an estimated 37 tok/s. There's room for up to FP16 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 MacBook Pro 16" M4 Max?

Roughly 37 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the MacBook Pro 16" M4 Max's 546 GB/s memory bandwidth.