Can Qwen 3 4B run on NVIDIA L40S 48GB?

YES — Runs Great

A77Great
Estimated from fit model

Qwen 3 4B needs ~10.3 GB VRAM. NVIDIA L40S 48GB has 48.0 GB. With Q4_K_M quantization, expect ~60 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) 10.3 GB, 60.0 tok/s, Runs well
10.3 GB required48.0 GB available
21% VRAM used

Fit status

Runs well

Decode

60.0 tok/s

TTFT

3227 ms

Safe context

33K

Memory

10.3 GB / 48.0 GB

Memory breakdown

Weights2.4 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom4.8 GB

See how fast it feels

See how fast it feelsQwen 3 4B on NVIDIA L40S 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: 60.0 tok/s decode · 3.2s TTFT (warm) · 150 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
ChatARuns well60.0 tok/s1760 ms33K
CodingARuns well60.0 tok/s3227 ms33K
Agentic CodingARuns well60.0 tok/s4693 ms33K
ReasoningARuns well60.0 tok/s3813 ms33K
RAGARuns well60.0 tok/s5867 ms33K

Quantization options

How Qwen 3 4B (4B params) fits at each quantization level on NVIDIA L40S 48GB (48.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
LowA73
Q3_K_S
3
2.0 GB
LowA73
NVFP4
4
2.2 GB
MediumA73
Q4_K_M
4
2.4 GB
MediumA73
Q5_K_M
5
2.9 GB
HighA73
Q6_K
6
3.3 GB
HighA73
Q8_0
8
4.3 GB
Very HighA73
F16Best for your GPU
16
8.2 GB
MaximumA74

Get started

Copy-paste commands to run Qwen 3 4B on your machine.

Run

ollama run qwen3:4b

Your hardware

More models your NVIDIA L40S 48GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS73.4 tok/s
AlibabaQwen 3.5 27B27BS30.6 tok/s
AlibabaQwen 3.6 27B27BS20.1 tok/s
AlibabaQwen 3.6 35B A3B35BS91.6 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS105.4 tok/s

Frequently asked questions

Can NVIDIA L40S 48GB run Qwen 3 4B?

Yes, NVIDIA L40S 48GB can run Qwen 3 4B with a A grade (Runs well). Expected decode speed: 60.0 tok/s.

How much VRAM does Qwen 3 4B need?

Qwen 3 4B (4B parameters) requires approximately 10.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 4B?

The recommended quantization for Qwen 3 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 4B run at on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Qwen 3 4B achieves approximately 60.0 tokens per second decode speed with a time-to-first-token of 3227ms using Q4_K_M quantization.

Can NVIDIA L40S 48GB run Qwen 3 4B for coding?

For coding workloads, Qwen 3 4B on NVIDIA L40S 48GB receives a A grade with 60.0 tok/s and 33K context.

What context window can Qwen 3 4B use on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Qwen 3 4B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.

See all results for NVIDIA L40S 48GBSee all hardware for Qwen 3 4B
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