3B
Parameters
128K
Context
2.0 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
Q3_K_M31.7 GBModerateRuns great
Q4_K_MREC42.0 GBGoodRuns great
Q5_K_M52.4 GBGoodRuns great
Q8_083.4 GBExcellentRuns great
F16166.4 GBLosslessRuns great

Which Mac can run Llama 3.2 3B?

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 Llama 3.2 3B

1 Fits comfortably on 8 GB Macs at Q4_K_M — leaves room for your dev tools

2 128K context window is massive for a 3B model — great for long documents

3 Use this as your daily driver if you need fast responses and low overhead

Related Pages

Run Llama 3.2 3B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Llama 3.2 3B for free. DevPulse tells you if it fits alongside your dev tools — before you download 2.0 GB of model weights.

Download for macOS

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