4B
Parameters
128K
Context
3.0 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_MREC43.0 GBGoodRuns great
Q6_K63.8 GBExcellentRuns great
Q8_084.9 GBExcellentRuns great
F16168.9 GBLosslessRuns great

Which Mac can run Gemma 3 4B?

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
~5 GB for apps
16 GB
Runs well
~13 GB for apps
24 GB
Runs great
~21 GB for apps
32 GB
Runs great
~29 GB for apps
36 GB
Runs great
~33 GB for apps
48 GB
Runs great
~45 GB for apps
64 GB
Runs great
~61 GB for apps
96 GB
Runs great
~93 GB for apps
128 GB
Runs great
~125 GB for apps
192 GB
Runs great
~189 GB for apps

Tips for running Gemma 3 4B

1 Best small model for vision tasks — analyze screenshots, diagrams, and UI mockups

2 128K context makes it useful for RAG and long document analysis

3 Runs smoothly on 8 GB Macs at Q4_K_M alongside normal dev tools

Related Pages

Run Gemma 3 4B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Gemma 3 4B for free. DevPulse tells you if it fits alongside your dev tools — before you download 3.0 GB of model weights.

Download for macOS

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