Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
How much GPU VRAM you need to run Qwen 2.5 Family Qwen 2.5 7B Instruct by Alibaba Cloud locally, a 7.6B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Qwen 2.5 7B Instruct needs about 6 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 2.5 GB | 3.8 GB |
| Q3_K_M | 3.41 | 3.2 GB | 4.5 GB |
| Q4_K_M | 4.83 | 4.6 GB | 5.9 GB |
| Q5_K_M | 5.67 | 5.4 GB | 6.7 GB |
| Q6_K | 6.56 | 6.2 GB | 7.5 GB |
| Q8_0 | 8.50 | 8.1 GB | 9.3 GB |
| F16 | 16.00 | 15.2 GB | 16.5 GB |
Switch quantization in the interactive calculator, or see the full Qwen 2.5 Family model page.
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-2.5-7b)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.