Can Qwen 3 8B run on RTX 4000 Ada 20GB?

YES — Runs Great

S92Excellent

Estimated from fit model

Qwen 3 8B needs ~10.3 GB VRAM. RTX 4000 Ada 20GB has 20.0 GB. With Q4_K_M quantization, expect ~62 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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) — 10.3 GB, 61.9 tok/s, Runs well

10.3 GB required20.0 GB available

52% VRAM used

Fit status

Runs well

Decode

61.9 tok/s

TTFT

3130 ms

Safe context

87K

Memory

10.3 GB / 20.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.2 GB

Runtime1.2 GB

Headroom2.0 GB

See how fast it feels

See how fast it feelsQwen 3 8B on RTX 4000 Ada 20GB
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: 61.9 tok/s decode · 3.1s TTFT (warm) · 155 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	S	Runs well	61.9 tok/s	1707 ms	87K
Coding	S	Runs well	61.9 tok/s	3130 ms	87K
Agentic Coding	S	Runs well	61.9 tok/s	4552 ms	87K
Reasoning	S	Runs well	61.9 tok/s	3699 ms	87K
RAG	S	Runs well	61.9 tok/s	5691 ms	87K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	S85
Q3_K_S	3	3.9 GB	Low	S86
NVFP4	4	4.5 GB	Medium	S86
Q4_K_M	4	4.9 GB	Medium	S87
Q5_K_M	5	5.8 GB	High	S87
Q6_K	6	6.6 GB	High	S88
Q8_0Best for your GPU	8	8.6 GB	Very High	S90
F16	16	16.4 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Your hardware

More models your RTX 4000 Ada 20GB can run

Model	Params	Grade	Decode
Qwen3-Coder 30B A3B Instruct	30.5B	A	23.2 tok/s
Qwen 3.5 27B	27B	A	10.4 tok/s
Qwen 3.6 27B	27B	S	13 tok/s
Qwen3-VL 30B A3B Instruct	30B	A	24.6 tok/s
Qwen 3.5 9B	9B	S	55 tok/s

Frequently asked questions

Can RTX 4000 Ada 20GB run Qwen 3 8B?

Yes, RTX 4000 Ada 20GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 61.9 tok/s.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B (8B parameters) requires approximately 10.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 8B?

The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 8B run at on RTX 4000 Ada 20GB?

On RTX 4000 Ada 20GB, Qwen 3 8B achieves approximately 61.9 tokens per second decode speed with a time-to-first-token of 3130ms using Q4_K_M quantization.

Can RTX 4000 Ada 20GB run Qwen 3 8B for coding?

For coding workloads, Qwen 3 8B on RTX 4000 Ada 20GB receives a S grade with 61.9 tok/s and 87K context.

What context window can Qwen 3 8B use on RTX 4000 Ada 20GB?

On RTX 4000 Ada 20GB, Qwen 3 8B can safely use up to 87K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX 4000 Ada 20GB See all hardware for Qwen 3 8B

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