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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Qwen3-VL 30B A3B Instruct/on Radeon Pro W7800 32GB

Can it run?

Can Radeon Pro W7800 32GB run Qwen3-VL 30B A3B Instruct?

BGood

Runs well

Using Q4_K_M in vLLM

Capabilities:

Fit status

Runs well

Decode

48.9 tok/s

TTFT

3962 ms

Safe context

21K

Memory

24.7 GB / 32.0 GB

Memory breakdown

Weights18.3 GB
KV Cache0.8 GB
Runtime2.4 GB
Headroom3.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingBRuns well48.9 tok/s5762 ms41K
ChatBRuns well48.9 tok/s2161 ms10K
CodingBRuns well48.9 tok/s3962 ms21K
RAGBRuns well48.9 tok/s7203 ms41K
ReasoningBRuns well48.9 tok/s4682 ms21K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowD37
Q3_K_S
3
14.7 GB
LowD39
NVFP4
4
16.8 GB
MediumC41
Q4_K_M
4
18.3 GB
MediumC42
Q5_K_M
5
21.6 GB
HighC44
Q6_KBest for your GPU
6
24.6 GB
HighC45
Q8_0
8
32.1 GB
Very HighF0
F16
16
61.5 GB
MaximumF0

Get started

HuggingFace
huggingface-cli download qwen-3-vl-30b-a3b

Upgrade options

Hardware that runs Qwen3-VL 30B A3B Instruct well

AppleMacBook Pro M4 Max 48GBBudget pick
B49.5 tok/s decode

~$2,499 MSRP

NVIDIANVIDIA A100 40GBBest value
B187.8 tok/s decode

~$10,000 MSRP

See all results for Radeon Pro W7800 32GBSee all hardware for Qwen3-VL 30B A3B Instruct