8B
Parameters
128K
Context
4.6 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
Q2_K23.1 GBLowRuns great
Q3_K_M34.1 GBModerateRuns great
Q4_K_MREC44.6 GBGoodRuns great
Q5_K_M55.6 GBGoodRuns great
Q6_K66.6 GBExcellentRuns great
Q8_088.7 GBExcellentRuns great
F161616.9 GBLosslessRuns OK

Which Mac can run Llama 3.1 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
Barely fits
~3 GB for apps
16 GB
Runs well
~11 GB for apps
24 GB
Runs well
~19 GB for apps
32 GB
Runs great
~27 GB for apps
36 GB
Runs great
~31 GB for apps
48 GB
Runs great
~43 GB for apps
64 GB
Runs great
~59 GB for apps
96 GB
Runs great
~91 GB for apps
128 GB
Runs great
~123 GB for apps
192 GB
Runs great
~187 GB for apps

Tips for running Llama 3.1 8B

1 Q4_K_M at 4.6 GB is the sweet spot — fits on 8 GB Macs with room to spare

2 Close Chrome tabs before loading Q8_0 on 16 GB machines

3 Use DevPulse to check available memory before loading — it factors in your running apps

4 Great for code generation, general chat, and tool-use tasks

Related Pages

Run Llama 3.1 8B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Llama 3.1 8B for free. DevPulse tells you if it fits alongside your dev tools — before you download 4.6 GB of model weights.

Download for macOS

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