Will It Run AI

Can DeepSeek R1 Distill 14B run on MacBook Pro M4 Pro 64GB?

YES — Runs Great

A71Great
Estimated — low-sample bucket· few comparable runs

DeepSeek R1 Distill 14B needs ~19.3 GB VRAM. MacBook Pro M4 Pro 64GB has 46.1 GB. With Q4_K_M quantization, expect ~23 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced
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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) — 19.3 GB, 23.4 tok/s, Runs well
19.3 GB required46.1 GB available
42% VRAM used

Fit status

Runs well

Decode

23.4 tok/s

TTFT

8276 ms

Safe context

33K

Memory

19.3 GB / 46.1 GB

Memory breakdown

Weights8.5 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom6.9 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill 14B on MacBook Pro M4 Pro 64GB
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: 23.4 tok/s decode · 8.3s TTFT (warm) · 59 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
ChatARuns well23.4 tok/s4514 ms33K
CodingARuns well23.4 tok/s8276 ms33K
Agentic CodingARuns well23.4 tok/s12037 ms33K
ReasoningARuns well23.4 tok/s9780 ms33K
RAGARuns well23.4 tok/s15047 ms33K

Quantization options

How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on MacBook Pro M4 Pro 64GB (46.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowB66
Q3_K_S
3
6.9 GB
LowB67
NVFP4
4
7.8 GB
MediumB67
Q4_K_M
4
8.5 GB
MediumB67
Q5_K_M
5
10.1 GB
HighB68
Q6_K
6
11.5 GB
HighB68
Q8_0
8
15.0 GB
Very HighB69
F16Best for your GPU
16
28.7 GB
MaximumA73

Get started

Copy-paste commands to run DeepSeek R1 Distill 14B on your machine.

Run

ollama run deepseek-r1

Your hardware

More models your MacBook Pro M4 Pro 64GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS31.8 tok/s
AlibabaQwen 3.5 27B27BS22.7 tok/s
AlibabaQwen 3.6 27B27BS17.3 tok/s
AlibabaQwen 3.6 35B A3B35BS29.4 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS32.9 tok/s

Frequently asked questions

Can MacBook Pro M4 Pro 64GB run DeepSeek R1 Distill 14B?

Yes, MacBook Pro M4 Pro 64GB can run DeepSeek R1 Distill 14B with a A grade (Runs well). Expected decode speed: 23.4 tok/s.

How much VRAM does DeepSeek R1 Distill 14B need?

DeepSeek R1 Distill 14B (14B parameters) requires approximately 19.3 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill 14B?

The recommended quantization for DeepSeek R1 Distill 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill 14B run at on MacBook Pro M4 Pro 64GB?

On MacBook Pro M4 Pro 64GB, DeepSeek R1 Distill 14B achieves approximately 23.4 tokens per second decode speed with a time-to-first-token of 8276ms using Q4_K_M quantization.

Can MacBook Pro M4 Pro 64GB run DeepSeek R1 Distill 14B for coding?

For coding workloads, DeepSeek R1 Distill 14B on MacBook Pro M4 Pro 64GB receives a A grade with 23.4 tok/s and 33K context.

What context window can DeepSeek R1 Distill 14B use on MacBook Pro M4 Pro 64GB?

On MacBook Pro M4 Pro 64GB, DeepSeek R1 Distill 14B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M4 Pro 64GB as fast as VRAM for DeepSeek R1 Distill 14B?

Not always. MacBook Pro M4 Pro 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.

See all results for MacBook Pro M4 Pro 64GBSee all hardware for DeepSeek R1 Distill 14B
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