70B
Parameters
128K
Context
40.6 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_K226.4 GBLowAfter cleanup
Q3_K_M333.4 GBModerateTight fit
Q4_K_MREC440.6 GBGoodTight fit
Q5_K_M547.8 GBGoodTight fit
Q6_K655.0 GBExcellentNeeds high RAM
Q8_0872.0 GBExcellentNeeds high RAM

Which Mac can run Llama 3.3 70B?

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
Can’t run
24 GB
Can’t run
32 GB
Can’t run
36 GB
Can’t run
48 GB
Close apps first
~7 GB for apps
64 GB
Runs great
~23 GB for apps
96 GB
Runs great
~55 GB for apps
128 GB
Runs great
~87 GB for apps
192 GB
Runs great
~151 GB for apps

Tips for running Llama 3.3 70B

1 Q4_K_M needs ~41 GB — requires a 64 GB Mac with apps closed

2 Q2_K at 26 GB fits on 36 GB Macs but quality drops noticeably

3 Use DevPulse to aggressively free memory before loading: close Chrome, Docker, Slack

4 On 64 GB Macs, Q4_K_M is the sweet spot — run with DevPulse monitoring memory pressure

5 On 96 GB+ Macs, go Q6_K or Q8_0 for near-lossless quality

Related Pages

Run Llama 3.3 70B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run Llama 3.3 70B for free. DevPulse tells you if it fits alongside your dev tools — before you download 40.6 GB of model weights.

Download for macOS

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