Will It Run AI

Can Qwen 3 8B run on RTX 4080 Laptop 12GB?

YES — Runs Great

S96Excellent
Estimated from fit model

Qwen 3 8B needs ~9.5 GB VRAM. RTX 4080 Laptop 12GB has 12.0 GB. With Q4_K_M quantization, expect ~74 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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) 9.5 GB, 74.2 tok/s, Runs well
9.5 GB required12.0 GB available
79% VRAM used

Fit status

Runs well

Decode

74.2 tok/s

TTFT

2608 ms

Safe context

34K

Memory

9.5 GB / 12.0 GB

Memory breakdown

Weights4.9 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom1.2 GB

See how fast it feels

See how fast it feelsQwen 3 8B on RTX 4080 Laptop 12GB
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: 74.2 tok/s decode · 2.6s TTFT (warm) · 186 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
ChatSRuns well74.2 tok/s1423 ms34K
CodingSRuns well74.2 tok/s2608 ms34K
Agentic CodingSRuns with offload74.2 tok/s3794 ms34K
ReasoningSRuns well74.2 tok/s3082 ms34K
RAGSRuns with offload74.2 tok/s4742 ms34K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on RTX 4080 Laptop 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowS89
Q3_K_S
3
3.9 GB
LowS90
NVFP4
4
4.5 GB
MediumS91
Q4_K_M
4
4.9 GB
MediumS92
Q5_K_M
5
5.8 GB
HighS92
Q6_K
6
6.6 GB
HighS92
Q8_0Best for your GPU
8
8.6 GB
Very HighS91
F16
16
16.4 GB
MaximumF0

Get started

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

Run

ollama run qwen3:8b

Your hardware

More models your RTX 4080 Laptop 12GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 9B9BS66 tok/s
AlibabaQwen 3 14B14BA25.4 tok/s

Frequently asked questions

Can RTX 4080 Laptop 12GB run Qwen 3 8B?

Yes, RTX 4080 Laptop 12GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 74.2 tok/s.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B (8B parameters) requires approximately 9.5 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 4080 Laptop 12GB?

On RTX 4080 Laptop 12GB, Qwen 3 8B achieves approximately 74.2 tokens per second decode speed with a time-to-first-token of 2608ms using Q4_K_M quantization.

Can RTX 4080 Laptop 12GB run Qwen 3 8B for coding?

For coding workloads, Qwen 3 8B on RTX 4080 Laptop 12GB receives a S grade with 74.2 tok/s and 34K context.

What context window can Qwen 3 8B use on RTX 4080 Laptop 12GB?

On RTX 4080 Laptop 12GB, Qwen 3 8B can safely use up to 34K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX 4080 Laptop 12GBSee all hardware for Qwen 3 8B
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<iframe src="https://willitrunai.com/embed/qwen-3-8b-on-rtx-4080-laptop-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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