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URL: https://willitrunai.com/can-run/llama-4-scout-17b-16e-on-m3-max-128gb

⇱ Llama 4 Scout 17B 16E on MacBook Pro M3 Max 128GB? TIGHT FIT

Can Llama 4 Scout 17B 16E run on MacBook Pro M3 Max 128GB?

YES — Tight Fit

A74Great
○Estimated from fit model

Llama 4 Scout 17B 16E needs ~84.1 GB VRAM. MacBook Pro M3 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~9 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: LowStack: StandardBottleneck: Balanced
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) — 84.1 GB, 9.2 tok/s, Tight fit
84.1 GB required92.2 GB available
91% VRAM used

Fit status

Tight fit

Decode

9.2 tok/s

TTFT

21095 ms

Safe context

60K

Memory

84.1 GB / 92.2 GB

Memory breakdown

Weights66.5 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom13.8 GB

See how fast it feels

See how fast it feelsLlama 4 Scout 17B 16E on MacBook Pro M3 Max 128GB
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: 9.2 tok/s decode · 21.1s TTFT (warm) · 23 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
ChatATight fit9.2 tok/s11506 ms60K
CodingATight fit9.2 tok/s21095 ms60K
Agentic CodingATight fit9.2 tok/s30684 ms60K
ReasoningATight fit9.2 tok/s24931 ms60K
RAGATight fit9.2 tok/s38355 ms60K

Quantization options

How Llama 4 Scout 17B 16E (109B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
42.5 GB
LowA74
Q3_K_S
3
53.4 GB
LowA76
NVFP4
4
61.0 GB
MediumA76
Q4_K_MBest for your GPU
4
66.5 GB
MediumA76
Q5_K_M
5
78.5 GB
HighF0
Q6_K
6
89.4 GB
HighF0
Q8_0
8
116.6 GB
Very HighF0
F16
16
223.5 GB
MaximumF0

Get started

Copy-paste commands to run Llama 4 Scout 17B 16E on your machine.

Run

lms load Llama-4-Scout-17B-16E-Instruct && lms server start

Your hardware

More models your MacBook Pro M3 Max 128GB can run

ModelParamsGradeDecodeCapabilities
👁 Mistral
Devstral 2 123B Instruct		123BS3.3 tok/s
👁 Alibaba
Qwen 3.5 122B A10B		122BS15 tok/s
👁 Mistral
Mistral Small 4 119B		119BS16 tok/s
👁 OpenAI
GPT-OSS 120B		117BA3.7 tok/s
👁 Cohere
Command A 111B		111BA3.9 tok/s

Frequently asked questions

See all results for MacBook Pro M3 Max 128GBSee all hardware for Llama 4 Scout 17B 16E