14B
Parameters
16K
Context
8.7 GB
RAM (Q4_K_M)

RAM by quantization

Lower quantization = less RAM but lower quality. Q4_K_M is the recommended sweet spot for most users.

FormatBitsRAMQualityVerdict
Q3_K_M37.0 GBModerateRuns great
Q4_K_MREC48.7 GBGoodRuns great
Q5_K_M510.4 GBGoodRuns great
Q6_K611.6 GBExcellentRuns great
Q8_0815.0 GBExcellentRuns OK
F161628.6 GBLosslessAfter cleanup

Which Mac can run Phi-4 14B?

Based on the recommended Q4_K_M quantization. You need RAM for both the model and your running apps — DevPulse calculates this for you. No CUDA installation. No driver hell. Just Apple Silicon doing what Jensen charges $30K for.

8 GB
Can’t run
16 GB
Close apps first
~7 GB for apps
24 GB
Runs well
~15 GB for apps
32 GB
Runs great
~23 GB for apps
36 GB
Runs great
~27 GB for apps
48 GB
Runs great
~39 GB for apps
64 GB
Runs great
~55 GB for apps
96 GB
Runs great
~87 GB for apps
128 GB
Runs great
~119 GB for apps
192 GB
Runs great
~183 GB for apps

Tips for running Phi-4 14B

1 Q4_K_M at 8.7 GB needs a 16 GB Mac — close heavy apps first

2 MIT license makes this ideal for commercial code generation

3 Use DevPulse to free up memory before loading — Docker alone might free 4 GB

4 Shorter 16K context — best for focused tasks, not long documents

Related Pages

Run Phi-4 14B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Phi-4 14B for free. DevPulse tells you if it fits alongside your dev tools — before you download 8.7 GB of model weights.

Download for macOS

macOS 14+ · Apple Silicon & Intel · Free during launch