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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 A5000 24GB

Can it run?

Can RTX A5000 24GB run Qwen 2.5 VL 72B?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

12.2 tok/s

TTFT

15816 ms

Safe context

6K

Memory

60.0 GB / 24.0 GB

Memory breakdown

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

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy12.2 tok/s23006 ms11K
ChatFToo heavy12.2 tok/s8627 ms4K
CodingFToo heavy12.2 tok/s15816 ms6K
RAGFToo heavy12.2 tok/s28757 ms11K
ReasoningFToo heavy12.2 tok/s18692 ms6K

Quantization options

How Qwen 2.5 VL 72B (72B params) fits at each quantization level on RTX A5000 24GB (24.0 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 A5000 24GBSee all hardware for Qwen 2.5 VL 72B