Can Qwen 3 4B run on NVIDIA A100 80GB?

YES — Runs Great

A75Great

Estimated from fit model

Qwen 3 4B needs ~13.8 GB VRAM. NVIDIA A100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~56 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: 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) — 13.8 GB, 56.0 tok/s, Runs well

13.8 GB required80.0 GB available

17% VRAM used

Fit status

Runs well

Decode

56.0 tok/s

TTFT

3457 ms

Safe context

33K

Memory

13.8 GB / 80.0 GB

Memory breakdown

Weights2.4 GB

KV Cache2.2 GB

Runtime1.2 GB

Headroom8.0 GB

See how fast it feels

See how fast it feelsQwen 3 4B on NVIDIA A100 80GB
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: 56.0 tok/s decode · 3.5s TTFT (warm) · 140 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	A	Runs well	56.0 tok/s	1886 ms	33K
Coding	A	Runs well	56.0 tok/s	3457 ms	33K
Agentic Coding	A	Runs well	56.0 tok/s	5029 ms	33K
Reasoning	A	Runs well	56.0 tok/s	4086 ms	33K
RAG	A	Runs well	56.0 tok/s	6286 ms	33K

Quantization options

How Qwen 3 4B (4B params) fits at each quantization level on NVIDIA A100 80GB (80.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	A71
Q3_K_S	3	2.0 GB	Low	A71
NVFP4	4	2.2 GB	Medium	A71
Q4_K_M	4	2.4 GB	Medium	A71
Q5_K_M	5	2.9 GB	High	A71
Q6_K	6	3.3 GB	High	A71
Q8_0	8	4.3 GB	Very High	A71
F16Best for your GPU	16	8.2 GB	Maximum	A71

Get started

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

Run

ollama run qwen3:4b

Your hardware

More models your NVIDIA A100 80GB can run

Model	Params	Grade	Decode
Devstral 2 123B Instruct	123B	A	17.6 tok/s
Qwen3-Coder 30B A3B Instruct	30.5B	S	259 tok/s
Qwen 3.5 27B	27B	S	112.3 tok/s
Qwen 3.6 27B	27B	S	112.7 tok/s
Qwen 3.5 122B A10B	122B	A	52.1 tok/s

Frequently asked questions

Can NVIDIA A100 80GB run Qwen 3 4B?

Yes, NVIDIA A100 80GB can run Qwen 3 4B with a A grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Qwen 3 4B need?

Qwen 3 4B (4B parameters) requires approximately 13.8 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 A100 80GB?

On NVIDIA A100 80GB, Qwen 3 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can NVIDIA A100 80GB run Qwen 3 4B for coding?

For coding workloads, Qwen 3 4B on NVIDIA A100 80GB receives a A grade with 56.0 tok/s and 33K context.

What context window can Qwen 3 4B use on NVIDIA A100 80GB?

On NVIDIA A100 80GB, 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 A100 80GB See all hardware for Qwen 3 4B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/qwen-3-4b-on-a100-80gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

56.0 tok/s

1886 ms

33K

Coding

Runs well

56.0 tok/s

3457 ms

33K

Agentic Coding

Runs well

56.0 tok/s

5029 ms

33K

Reasoning

Runs well

56.0 tok/s

4086 ms

33K

RAG

Runs well

56.0 tok/s

6286 ms

33K

Quant

Bits

VRAM

Quality

Fit

Q2_K

1.6 GB

Low

A71

Q3_K_S

2.0 GB

Low

A71

NVFP4

2.2 GB

Medium

A71

Q4_K_M

2.4 GB

Medium

A71

Q5_K_M

2.9 GB

High

A71

Q6_K

3.3 GB

High

A71

Q8_0

4.3 GB

Very High

A71

F16Best for your GPU

8.2 GB

Maximum

A71

Model

Params

Grade

Decode

Capabilities

Devstral 2 123B Instruct

123B

17.6 tok/s

Qwen3-Coder 30B A3B Instruct

30.5B

259 tok/s

Qwen 3.5 27B

27B

112.3 tok/s

Qwen 3.6 27B

27B

112.7 tok/s

Qwen 3.5 122B A10B

122B

52.1 tok/s

Frequently asked questions

Can NVIDIA A100 80GB run Qwen 3 4B?

Yes, NVIDIA A100 80GB can run Qwen 3 4B with a A grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Qwen 3 4B need?

Qwen 3 4B (4B parameters) requires approximately 13.8 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 A100 80GB?

On NVIDIA A100 80GB, Qwen 3 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can NVIDIA A100 80GB run Qwen 3 4B for coding?

For coding workloads, Qwen 3 4B on NVIDIA A100 80GB receives a A grade with 56.0 tok/s and 33K context.

What context window can Qwen 3 4B use on NVIDIA A100 80GB?

On NVIDIA A100 80GB, 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.