Can Qwen 3 8B run on Radeon PRO W7700 16GB?

YES — Runs Great

S94Excellent
Estimated from fit model

Qwen 3 8B needs ~9.6 GB VRAM. Radeon PRO W7700 16GB has 16.0 GB. With Q4_K_M quantization, expect ~70 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) 9.6 GB, 74.9 tok/s, Runs well
9.6 GB required16.0 GB available
60% VRAM used

Fit status

Runs well

Decode

74.9 tok/s

TTFT

2586 ms

Safe context

63K

Memory

9.6 GB / 16.0 GB

Memory breakdown

Weights4.9 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsQwen 3 8B on Radeon PRO W7700 16GB
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: 74.9 tok/s decode · 2.6s TTFT (warm) · 187 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 well74.9 tok/s1411 ms63K
CodingSRuns well69.6 tok/s2780 ms63K
Agentic CodingSRuns well74.9 tok/s3762 ms63K
ReasoningSRuns well74.9 tok/s3056 ms63K
RAGSRuns well74.9 tok/s4702 ms63K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on Radeon PRO W7700 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowS87
Q3_K_S
3
3.9 GB
LowS88
NVFP4
4
4.5 GB
MediumS88
Q4_K_M
4
4.9 GB
MediumS89
Q5_K_M
5
5.8 GB
HighS89
Q6_K
6
6.6 GB
HighS90
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 Radeon PRO W7700 16GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 9B9BS66.5 tok/s
AlibabaQwen 3 14B14BS43 tok/s

Frequently asked questions

Can Radeon PRO W7700 16GB run Qwen 3 8B?

Yes, Radeon PRO W7700 16GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 69.6 tok/s.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B (8B parameters) requires approximately 9.6 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 Radeon PRO W7700 16GB?

On Radeon PRO W7700 16GB, Qwen 3 8B achieves approximately 69.6 tokens per second decode speed with a time-to-first-token of 2780ms using Q4_K_M quantization.

Can Radeon PRO W7700 16GB run Qwen 3 8B for coding?

For coding workloads, Qwen 3 8B on Radeon PRO W7700 16GB receives a S grade with 69.6 tok/s and 63K context.

What context window can Qwen 3 8B use on Radeon PRO W7700 16GB?

On Radeon PRO W7700 16GB, Qwen 3 8B can safely use up to 63K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for Radeon PRO W7700 16GBSee all hardware for Qwen 3 8B
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<iframe src="https://willitrunai.com/embed/qwen-3-8b-on-radeon-pro-w7700-16gb" 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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