Written by Jakub Rusinowski · Last updated July 21, 2026
How much GPU VRAM you need to run Qwen 3.7 Qwen 3.7 35B-A3B by Alibaba Cloud locally, a 35B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Qwen 3.7 35B-A3B needs about 22 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 11.5 GB | 12.3 GB |
| Q3_K_M | 3.41 | 14.9 GB | 15.7 GB |
| Q4_K_M | 4.83 | 21.1 GB | 21.9 GB |
| Q5_K_M | 5.67 | 24.8 GB | 25.6 GB |
| Q6_K | 6.56 | 28.7 GB | 29.5 GB |
| Q8_0 | 8.50 | 37.2 GB | 38.0 GB |
| F16 | 16.00 | 70.0 GB | 70.8 GB |
Switch quantization in the interactive calculator, or see the full Qwen 3.7 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/qwen3-7-35b-a3b)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.