Qwen 2.5 VL 72B Instruct — VRAM Requirements
Written by Jakub Rusinowski · Last updated January 25, 2025
How much GPU VRAM you need to run Qwen 2.5 VL Qwen 2.5 VL 72B Instruct by Alibaba Cloud locally, a 73.4B-parameter model. Figures are quantized weights + KV cache + framework overhead, computed from the model's parameter count and published architecture — not a throughput model. See /en/methodology.
Qwen 2.5 VL 72B Instruct needs about 48 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 24.1 GB | 27.6 GB |
| Q3_K_M | 3.41 | 31.3 GB | 34.8 GB |
| Q4_K_M | 4.83 | 44.3 GB | 47.8 GB |
| Q5_K_M | 5.67 | 52.0 GB | 55.5 GB |
| Q6_K | 6.56 | 60.2 GB | 63.7 GB |
| Q8_0 | 8.50 | 78.0 GB | 81.5 GB |
| F16 | 16.00 | 146.8 GB | 150.3 GB |
Switch quantization in the interactive calculator, or see the full Qwen 2.5 VL model page.
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Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/qwen-2.5-vl-72b?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=qwen-2.5-vl-72b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.