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URL: https://willitrunai.com/can-run/mpt-30b-instruct-on-m4-pro-24gb

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Can MPT-30B-Instruct run on MacBook Pro M4 Pro 24GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

MPT-30B-Instruct needs ~48.8 GB but MacBook Pro M4 Pro 24GB only has 17.3 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: LowStack: BasicBottleneck: Memory capacity
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

Q5_K_M (High quality) — 48.8 GB, exceeds 17.3 GB available
48.8 GB required17.3 GB available
282% VRAM needed

31.5 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

8.0 tok/s

TTFT

24078 ms

Safe context

4K

Memory

48.8 GB / 17.3 GB

Offload

60%

Memory breakdown

Weights21.6 GB
KV Cache23.4 GB
Runtime1.2 GB
Headroom2.6 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsMPT-30B-Instruct on MacBook Pro M4 Pro 24GB
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: 8.0 tok/s decode · 24.1s TTFT (warm) · 20 tok/s prefill

What limits this setup

Usable shared or unified memory is the main blocker for this model.

Not enough usable memory

The model needs 48.8 GB, but this setup only exposes 17.3 GB of usable shared or unified memory.

Best improvement path

Move to a larger memory pool

A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy4.5 tok/s23640 ms4K
CodingFToo heavy4.5 tok/s43340 ms4K
Agentic CodingFToo heavy4.5 tok/s63041 ms4K
ReasoningFToo heavy4.5 tok/s51221 ms4K
RAGFToo heavy4.5 tok/s78801 ms4K

Quantization options

How MPT-30B-Instruct (30B params) fits at each quantization level on MacBook Pro M4 Pro 24GB (17.3 GB usable).

QuantBitsVRAMQualityFit
Q2_KBest for your GPU
2
11.7 GB
LowA71
Q3_K_S
3
14.7 GB
LowF0

Upgrade options

Hardware that runs MPT-30B-Instruct well

Mac mini M4 64GBBest value
64 GB Unified (+40)
B
Makes the model fit on the accelerator instead of staying completely out of reach.5.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

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

~$1,099 MSRP

MacBook Pro M4 Pro 64GBApple upgrade
64 GB Unified (+40)
B
Makes the model fit on the accelerator instead of staying completely out of reach.14.3 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 79%.

~$1,599 MSRP

MacBook Pro M4 Max 96GBBudget pick
96 GB Unified (+72)546 GB/s (+273)
A
Makes the model fit on the accelerator instead of staying completely out of reach.28.4 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$2,499 MSRP

Frequently asked questions

See all results for MacBook Pro M4 Pro 24GBSee all hardware for MPT-30B-Instruct
NVFP4
4
16.8 GB
Medium
F0
Q4_K_M
4
18.3 GB
MediumF0
Q5_K_M
5
21.6 GB
HighF0
Q6_K
6
24.6 GB
HighF0
Q8_0
8
32.1 GB
Very HighF0
F16
16
61.5 GB
MaximumF0

Move to a larger memory pool. A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.