Will It Run AI

Can Qwen 3 14B run on Radeon Pro W7800 32GB?

YES — Runs Great

S90Excellent
Estimated from fit model

Qwen 3 14B needs ~15.1 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~43 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: 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) 15.1 GB, 43.0 tok/s, Runs well
15.1 GB required32.0 GB available
47% VRAM used

Fit status

Runs well

Decode

43.0 tok/s

TTFT

4505 ms

Safe context

127K

Memory

15.1 GB / 32.0 GB

Memory breakdown

Weights8.5 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom3.2 GB

See how fast it feels

See how fast it feelsQwen 3 14B on Radeon Pro W7800 32GB
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: 43.0 tok/s decode · 4.5s TTFT (warm) · 107 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 well43.0 tok/s2457 ms127K
CodingSRuns well43.0 tok/s4505 ms127K
Agentic CodingSRuns well43.0 tok/s6552 ms127K
ReasoningSRuns well43.0 tok/s5324 ms127K
RAGSRuns well43.0 tok/s8190 ms127K

Quantization options

How Qwen 3 14B (14B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowA85
Q3_K_S
3
6.9 GB
LowS85
NVFP4
4
7.8 GB
MediumS85
Q4_K_M
4
8.5 GB
MediumS86
Q5_K_M
5
10.1 GB
HighS87
Q6_K
6
11.5 GB
HighS87
Q8_0Best for your GPU
8
15.0 GB
Very HighS89
F16
16
28.7 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 3 14B on your machine.

Run

ollama run qwen3

Your hardware

More models your Radeon Pro W7800 32GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS51.4 tok/s
AlibabaQwen 3.5 27B27BS22.3 tok/s
AlibabaQwen 3.6 27B27BS16.9 tok/s
AlibabaQwen 3.6 35B A3B35BS43.2 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS53.1 tok/s

Frequently asked questions

Can Radeon Pro W7800 32GB run Qwen 3 14B?

Yes, Radeon Pro W7800 32GB can run Qwen 3 14B with a S grade (Runs well). Expected decode speed: 43.0 tok/s.

How much VRAM does Qwen 3 14B need?

Qwen 3 14B (14B parameters) requires approximately 15.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 14B?

The recommended quantization for Qwen 3 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 14B run at on Radeon Pro W7800 32GB?

On Radeon Pro W7800 32GB, Qwen 3 14B achieves approximately 43.0 tokens per second decode speed with a time-to-first-token of 4505ms using Q4_K_M quantization.

Can Radeon Pro W7800 32GB run Qwen 3 14B for coding?

For coding workloads, Qwen 3 14B on Radeon Pro W7800 32GB receives a S grade with 43.0 tok/s and 127K context.

What context window can Qwen 3 14B use on Radeon Pro W7800 32GB?

On Radeon Pro W7800 32GB, Qwen 3 14B can safely use up to 127K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for Radeon Pro W7800 32GBSee all hardware for Qwen 3 14B
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<iframe src="https://willitrunai.com/embed/qwen-3-14b-on-radeon-pro-w7800-32gb" 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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