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URL: https://willitrunai.com/can-run/gemma-3-4b-on-m4-mini-32gb


Can Gemma 3 4B run on Mac mini M4 32GB?

YES — Runs Great

B67Good
Estimated — low-sample bucket· few comparable runs

Gemma 3 4B needs ~8.9 GB VRAM. Mac mini M4 32GB has 23.0 GB. With Q4_K_M quantization, expect ~27 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth
Share:

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 8.9 GB, 25.9 tok/s, Runs well
8.9 GB required23.0 GB available
39% VRAM used

Fit status

Runs well

Decode

25.9 tok/s

TTFT

7468 ms

Safe context

125K

Memory

8.9 GB / 23.0 GB

Memory breakdown

Weights2.4 GB
KV Cache2.1 GB
Runtime0.9 GB
Headroom3.5 GB

See how fast it feels

See how fast it feelsGemma 3 4B on Mac mini M4 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 25.9 tok/s decode · 7.5s TTFT (warm) · 65 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Shared-memory contention still exists

The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well26.8 tok/s3935 ms125K
CodingBRuns well26.8 tok/s7214 ms125K
Agentic CodingBRuns well26.8 tok/s10494 ms125K
ReasoningBRuns well26.8 tok/s8526 ms125K
RAGBRuns well26.8 tok/s13117 ms125K

Quantization options

How Gemma 3 4B (4B params) fits at each quantization level on Mac mini M4 32GB (23.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
LowB65
Q3_K_S
3
2.0 GB
LowB65
NVFP4
4

Get started

Copy-paste commands to run Gemma 3 4B on your machine.

Run

ollama run gemma3:4b

Upgrade options

Hardware that runs Gemma 3 4B well

MacBook Pro M3 Pro 36GBBudget pick
36 GB Unified (+4)150 GB/s (+30)
B
Raises estimated decode speed by about 38%.35.7 tok/s decode

Raises estimated decode speed by about 38%.

~$1,999 MSRP

MacBook Pro M4 Max 36GBBest value
36 GB Unified (+4)410 GB/s (+290)
B
Raises estimated decode speed by about 116%.56 tok/s decode

Raises estimated decode speed by about 116%.

~$2,499 MSRP

MacBook Pro M3 Max 48GBApple upgrade
48 GB Unified (+16)400 GB/s (+280)
B
Raises estimated decode speed by about 116%.56 tok/s decode

Raises estimated decode speed by about 116%.

Adds memory headroom for longer context windows and future model growth.

~$2,499 MSRP

Frequently asked questions

See all results for Mac mini M4 32GBSee all hardware for Gemma 3 4B
2.2 GB
Medium
B66
Q4_K_M
4
2.4 GB
MediumB66
Q5_K_M
5
2.9 GB
HighB66
Q6_K
6
3.3 GB
HighB66
Q8_0
8
4.3 GB
Very HighB67
F16Best for your GPU
16
8.2 GB
MaximumB69