32B
Parameters
128K
Context
19.0 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_M315.5 GBModerateRuns OK
Q4_K_MREC419.0 GBGoodRuns OK
Q5_K_M522.5 GBGoodAfter cleanup
Q6_K626.0 GBExcellentAfter cleanup
Q8_0834.0 GBExcellentTight fit
F161665.0 GBLosslessNeeds high RAM

Which Mac can run DeepSeek R1 Distill 32B?

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
Close apps first
~5 GB for apps
32 GB
Runs well
~13 GB for apps
36 GB
Runs well
~17 GB for apps
48 GB
Runs great
~29 GB for apps
64 GB
Runs great
~45 GB for apps
96 GB
Runs great
~77 GB for apps
128 GB
Runs great
~109 GB for apps
192 GB
Runs great
~173 GB for apps

Tips for running DeepSeek R1 Distill 32B

1 MIT license — the most permissive option for a reasoning-focused 32B model

2 Chain-of-thought reasoning generates long outputs — watch memory during generation

3 On 32 GB Macs, use Q4_K_M and let DevPulse tell you what to close first

4 Best reasoning model you can run locally without a 64 GB machine

Related Pages

Run DeepSeek R1 Distill 32B locally. No GPU required.

While cloud GPU prices keep climbing, your Mac can run DeepSeek R1 Distill 32B for free. DevPulse tells you if it fits alongside your dev tools — before you download 19.0 GB of model weights.

Download for macOS

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