Can DeepSeek R1 Distill Qwen 14B run on NVIDIA A40 48GB?

YES — Runs Great

C48Usable

Estimated from fit model

DeepSeek R1 Distill Qwen 14B needs ~16.2 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~64 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: Balanced

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) — 16.2 GB, 63.6 tok/s, Runs well

16.2 GB required48.0 GB available

34% VRAM used

Fit status

Runs well

Decode

63.6 tok/s

TTFT

3046 ms

Safe context

326K

Memory

16.2 GB / 48.0 GB

Memory breakdown

Weights8.5 GB

KV Cache1.6 GB

Runtime1.2 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill Qwen 14B on NVIDIA A40 48GB
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: 63.6 tok/s decode · 3.0s TTFT (warm) · 159 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Runs well	63.6 tok/s	1661 ms	326K
Coding	C	Runs well	63.6 tok/s	3046 ms	326K
Agentic Coding	C	Runs well	63.6 tok/s	4430 ms	326K
Reasoning	C	Runs well	63.6 tok/s	3599 ms	326K
RAG	C	Runs well	63.6 tok/s	5537 ms	326K

Quantization options

How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	C42
Q3_K_S	3	6.9 GB	Low	C42
NVFP4	4	7.8 GB	Medium	C42
Q4_K_M	4	8.5 GB	Medium	C43
Q5_K_M	5	10.1 GB	High	C43
Q6_K	6	11.5 GB	High	C43
Q8_0	8	15.0 GB	Very High	C44
F16Best for your GPU	16	28.7 GB	Maximum	C48

Get started

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

Run

lms load hf-unsloth--deepseek-r1-distill-qwen-14b-gguf && lms server start

Frequently asked questions

Can NVIDIA A40 48GB run DeepSeek R1 Distill Qwen 14B?

Yes, NVIDIA A40 48GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 63.6 tok/s.

How much VRAM does DeepSeek R1 Distill Qwen 14B need?

DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 16.2 GB of memory with Q4_K_M quantization.

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

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

What speed will DeepSeek R1 Distill Qwen 14B run at on NVIDIA A40 48GB?

On NVIDIA A40 48GB, DeepSeek R1 Distill Qwen 14B achieves approximately 63.6 tokens per second decode speed with a time-to-first-token of 3046ms using Q4_K_M quantization.

Can NVIDIA A40 48GB run DeepSeek R1 Distill Qwen 14B for coding?

For coding workloads, DeepSeek R1 Distill Qwen 14B on NVIDIA A40 48GB receives a C grade with 63.6 tok/s and 326K context.

What context window can DeepSeek R1 Distill Qwen 14B use on NVIDIA A40 48GB?

On NVIDIA A40 48GB, DeepSeek R1 Distill Qwen 14B can safely use up to 326K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for NVIDIA A40 48GB See all hardware for DeepSeek R1 Distill Qwen 14B

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