3.8B
Parameters
128K
Context
2.5 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
Q4_K_MREC42.5 GBGoodRuns great
Q8_084.2 GBExcellentRuns great
F16167.8 GBLosslessRuns great

Which Mac can run Phi-4 Mini 3.8B?

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
Close apps first
~6 GB for apps
16 GB
Runs well
~14 GB for apps
24 GB
Runs great
~22 GB for apps
32 GB
Runs great
~30 GB for apps
36 GB
Runs great
~34 GB for apps
48 GB
Runs great
~46 GB for apps
64 GB
Runs great
~62 GB for apps
96 GB
Runs great
~94 GB for apps
128 GB
Runs great
~126 GB for apps
192 GB
Runs great
~190 GB for apps

Tips for running Phi-4 Mini 3.8B

1 MIT licensed — use freely in commercial projects with no restrictions

2 Great for chain-of-thought reasoning at very low memory cost

3 On 8 GB Macs, use Q4_K_M to leave room for VS Code and a browser

Related Pages

Run Phi-4 Mini 3.8B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Phi-4 Mini 3.8B for free. DevPulse tells you if it fits alongside your dev tools — before you download 2.5 GB of model weights.

Download for macOS

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