Can Qwen 3 8B run on RTX 3050 Ti Laptop 4GB?

NO — Won't Fit

F0Won't run

Estimated from fit model

Qwen 3 8B needs ~8.7 GB but RTX 3050 Ti Laptop 4GB only has 4.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: Very lowStack: BasicBottleneck: Memory capacity

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) — 8.7 GB, exceeds 4.0 GB available

8.7 GB required4.0 GB available

217% VRAM needed

4.7 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

4.9 tok/s

TTFT

39123 ms

Safe context

Memory

8.7 GB / 4.0 GB

Offload

50%

Memory breakdown

Weights4.9 GB

KV Cache2.2 GB

Runtime1.2 GB

Headroom0.4 GB

See how fast it feels

With memory offload — actual speed may be lower

See how fast it feelsQwen 3 8B on RTX 3050 Ti Laptop 4GB
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: 4.9 tok/s decode · 39.1s TTFT (warm) · 12 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 8.7 GB, but this setup only exposes 4.0 GB of usable VRAM.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	F	Too heavy	6.4 tok/s	16384 ms	4K
Coding	F	Too heavy	4.6 tok/s	42057 ms	4K
Agentic Coding	F	Too heavy	4.9 tok/s	56906 ms	4K
Reasoning	F	Too heavy	4.9 tok/s	46236 ms	4K
RAG	F	Too heavy	4.9 tok/s	71132 ms	4K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	F0
Q3_K_S	3	3.9 GB	Low	F0
NVFP4	4

Upgrade options

Hardware that runs Qwen 3 8B well

RTX 3050 8GBBest value

8 GB VRAM (+4)224 GB/s (+32)

Makes the model fit on the accelerator instead of staying completely out of reach.18.7 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 282%.

~$249 MSRP

RTX 5060 8GBNVIDIA upgrade

8 GB VRAM (+4)448 GB/s (+256)

Makes the model fit on the accelerator instead of staying completely out of reach.35.6 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 627%.

~$299 MSRP

RTX 3060 12GBBudget pick

12 GB VRAM (+8)360 GB/s (+168)

Makes the model fit on the accelerator instead of staying completely out of reach.52.3 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$329 MSRP

Frequently asked questions

Can RTX 3050 Ti Laptop 4GB run Qwen 3 8B?

No, Qwen 3 8B requires more memory than RTX 3050 Ti Laptop 4GB provides.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B (8B parameters) requires approximately 8.7 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 3050 Ti Laptop 4GB?

On RTX 3050 Ti Laptop 4GB, Qwen 3 8B achieves approximately 4.6 tokens per second decode speed with a time-to-first-token of 42057ms using Q4_K_M quantization.

Can RTX 3050 Ti Laptop 4GB run Qwen 3 8B for coding?

For coding workloads, Qwen 3 8B on RTX 3050 Ti Laptop 4GB receives a F grade with 4.6 tok/s and 4K context.

What context window can Qwen 3 8B use on RTX 3050 Ti Laptop 4GB?

On RTX 3050 Ti Laptop 4GB, Qwen 3 8B can safely use up to 4K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

What should I upgrade first if Qwen 3 8B feels slow on RTX 3050 Ti Laptop 4GB?

Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

See all results for RTX 3050 Ti Laptop 4GB See all hardware for Qwen 3 8B

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