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URL: https://willitrunai.com/can-run/qwen-3-8b-on-m4-16gb

⇱ Qwen 3 8B on MacBook Pro M4 16GB? TIGHT FIT

Can Qwen 3 8B run on MacBook Pro M4 16GB?

YES — Tight Fit

S88Excellent
▲Estimated — low-sample bucket· few comparable runs

Qwen 3 8B needs ~9.7 GB VRAM. MacBook Pro M4 16GB has 11.5 GB. With Q4_K_M quantization, expect ~18 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth
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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) — 9.7 GB, 17.5 tok/s, Tight fit
9.7 GB required11.5 GB available
84% VRAM used

Fit status

Tight fit

Decode

17.5 tok/s

TTFT

11056 ms

Safe context

29K

Memory

9.7 GB / 11.5 GB

Memory breakdown

Weights4.9 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom1.7 GB

See how fast it feels

See how fast it feelsQwen 3 8B on MacBook Pro M4 16GB
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: 17.5 tok/s decode · 11.1s TTFT (warm) · 44 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
ChatSRuns well17.5 tok/s6031 ms29K
CodingSTight fit17.5 tok/s11056 ms29K
Agentic CodingSRuns with offload (needs ~0.2 GB host RAM)16.4 tok/s17180 ms29K
ReasoningSTight fit17.5 tok/s13067 ms29K
RAGSRuns with offload (needs ~0.2 GB host RAM)16.4 tok/s21475 ms29K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on MacBook Pro M4 16GB (11.5 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowS90
Q3_K_S
3
3.9 GB
LowS91
NVFP4
4
4.5 GB
MediumS92
Q4_K_M
4
4.9 GB
MediumS92
Q5_K_M
5
5.8 GB
HighS92
Q6_KBest for your GPU
6
6.6 GB
HighS92
Q8_0
8
8.6 GB
Very HighF0
F16
16
16.4 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Your hardware

More models your MacBook Pro M4 16GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen 3.5 9B		9BS15.6 tok/s
👁 Alibaba
Qwen 3 14B		14BA7.5 tok/s

Frequently asked questions

See all results for MacBook Pro M4 16GBSee all hardware for Qwen 3 8B