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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/Qwen 2.5 VL 72B/on RTX A4500 20GB

Can it run?

Can RTX A4500 20GB run Qwen 2.5 VL 72B?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

11.4 tok/s

TTFT

17033 ms

Safe context

5K

Memory

59.6 GB / 20.0 GB

Memory breakdown

Weights43.9 GB
KV Cache11.3 GB
Runtime2.4 GB
Headroom2.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy11.4 tok/s24775 ms9K
ChatFToo heavy11.4 tok/s9291 ms4K
CodingFToo heavy11.4 tok/s17033 ms5K
RAGFToo heavy11.4 tok/s30969 ms9K
ReasoningFToo heavy11.4 tok/s20130 ms5K

Quantization options

How Qwen 2.5 VL 72B (72B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
28.1 GB
LowF0
Q3_K_S
3
35.3 GB
LowF0
NVFP4
4
40.3 GB
MediumF0
Q4_K_M
4
43.9 GB
MediumF0
Q5_K_M
5
51.8 GB
HighF0
Q6_K
6
59.0 GB
HighF0
Q8_0
8
77.0 GB
Very HighF0
F16
16
147.6 GB
MaximumF0

Upgrade options

Hardware that runs Qwen 2.5 VL 72B well

AppleMacBook Pro M3 Max 128GBBudget pick
C5.5 tok/s decode

~$2,499 MSRP

AppleMacBook Pro M4 Max 96GBBest value
C7.8 tok/s decode

~$2,499 MSRP

NVIDIANVIDIA GH200 96GBBiggest leap
B73.8 tok/s decode

 

NVIDIANVIDIA H20 96GBNVIDIA upgrade
B73.8 tok/s decode

 

See all results for RTX A4500 20GBSee all hardware for Qwen 2.5 VL 72B