Will It Run AI

Can DeepSeek R1 Distill Qwen 14B run on NVIDIA A100 40GB?

YES — Runs Great

C50Usable
Estimated from fit model

DeepSeek R1 Distill Qwen 14B needs ~15.4 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~153 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: 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) — 15.4 GB, 153.0 tok/s, Runs well
15.4 GB required40.0 GB available
39% VRAM used

Fit status

Runs well

Decode

153.0 tok/s

TTFT

1266 ms

Safe context

256K

Memory

15.4 GB / 40.0 GB

Memory breakdown

Weights8.5 GB
KV Cache1.6 GB
Runtime1.2 GB
Headroom4.0 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill Qwen 14B on NVIDIA A100 40GB
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: 153.0 tok/s decode · 1.3s TTFT (warm) · 382 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well153.0 tok/s690 ms256K
CodingCRuns well153.0 tok/s1266 ms256K
Agentic CodingCRuns well153.0 tok/s1841 ms256K
ReasoningCRuns well153.0 tok/s1496 ms256K
RAGCRuns well153.0 tok/s2301 ms256K

Quantization options

How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowC43
Q3_K_S
3
6.9 GB
LowC43
NVFP4
4
7.8 GB
MediumC43
Q4_K_M
4
8.5 GB
MediumC44
Q5_K_M
5
10.1 GB
HighC44
Q6_K
6
11.5 GB
HighC45
Q8_0
8
15.0 GB
Very HighC46
F16Best for your GPU
16
28.7 GB
MaximumC48

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 A100 40GB run DeepSeek R1 Distill Qwen 14B?

Yes, NVIDIA A100 40GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 153.0 tok/s.

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

DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 15.4 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 A100 40GB?

On NVIDIA A100 40GB, DeepSeek R1 Distill Qwen 14B achieves approximately 153.0 tokens per second decode speed with a time-to-first-token of 1266ms using Q4_K_M quantization.

Can NVIDIA A100 40GB run DeepSeek R1 Distill Qwen 14B for coding?

For coding workloads, DeepSeek R1 Distill Qwen 14B on NVIDIA A100 40GB receives a C grade with 153.0 tok/s and 256K context.

What context window can DeepSeek R1 Distill Qwen 14B use on NVIDIA A100 40GB?

On NVIDIA A100 40GB, DeepSeek R1 Distill Qwen 14B can safely use up to 256K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for NVIDIA A100 40GBSee all hardware for DeepSeek R1 Distill Qwen 14B
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