Will It Run AI

Can DeepSeek R1 Distill 14B run on Mac Studio M1 Ultra 128GB?

YES — Runs Great

A71Great
Estimated from fit model

DeepSeek R1 Distill 14B needs ~26.2 GB VRAM. Mac Studio M1 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~52 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 26.2 GB, 55.6 tok/s, Runs well
26.2 GB required92.2 GB available
28% VRAM used

Fit status

Runs well

Decode

55.6 tok/s

TTFT

3479 ms

Safe context

33K

Memory

26.2 GB / 92.2 GB

Memory breakdown

Weights8.5 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom13.8 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill 14B on Mac Studio M1 Ultra 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: 55.6 tok/s decode · 3.5s TTFT (warm) · 139 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 well51.5 tok/s2050 ms33K
CodingARuns well51.5 tok/s3758 ms33K
Agentic CodingARuns well51.5 tok/s5466 ms33K
ReasoningARuns well51.5 tok/s4441 ms33K
RAGARuns well51.5 tok/s6832 ms33K

Quantization options

How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on Mac Studio M1 Ultra 128GB (92.2 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowB64
Q3_K_S
3
6.9 GB
LowB64
NVFP4
4
7.8 GB
MediumB64
Q4_K_M
4
8.5 GB
MediumB64
Q5_K_M
5
10.1 GB
HighB64
Q6_K
6
11.5 GB
HighB64
Q8_0
8
15.0 GB
Very HighB65
F16Best for your GPU
16
28.7 GB
MaximumB67

Get started

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

Run

ollama run deepseek-r1

Your hardware

More models your Mac Studio M1 Ultra 128GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS6 tok/s
AlibabaQwen3-Coder 30B A3B Instruct30.5BS66.5 tok/s
AlibabaQwen 3.5 27B27BS28.9 tok/s
AlibabaQwen 3.6 27B27BS21.9 tok/s
AlibabaQwen 3.5 122B A10B122BS27.4 tok/s

Frequently asked questions

Can Mac Studio M1 Ultra 128GB run DeepSeek R1 Distill 14B?

Yes, Mac Studio M1 Ultra 128GB can run DeepSeek R1 Distill 14B with a A grade (Runs well). Expected decode speed: 51.5 tok/s.

How much VRAM does DeepSeek R1 Distill 14B need?

DeepSeek R1 Distill 14B (14B parameters) requires approximately 26.2 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 Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, DeepSeek R1 Distill 14B achieves approximately 51.5 tokens per second decode speed with a time-to-first-token of 3758ms using Q4_K_M quantization.

Can Mac Studio M1 Ultra 128GB run DeepSeek R1 Distill 14B for coding?

For coding workloads, DeepSeek R1 Distill 14B on Mac Studio M1 Ultra 128GB receives a A grade with 51.5 tok/s and 33K context.

What context window can DeepSeek R1 Distill 14B use on Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, 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 Mac Studio M1 Ultra 128GB as fast as VRAM for DeepSeek R1 Distill 14B?

Not always. Mac Studio M1 Ultra 128GB 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 Mac Studio M1 Ultra 128GBSee all hardware for DeepSeek R1 Distill 14B
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