Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
How much GPU VRAM you need to run Gemma 4 Gemma 4 26B-A4B by Google locally, a 26B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Gemma 4 26B-A4B needs about 16 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 8.5 GB | 9.3 GB |
| Q3_K_M | 3.41 | 11.1 GB | 11.9 GB |
| Q4_K_M | 4.83 | 15.7 GB | 16.5 GB |
| Q5_K_M | 5.67 | 18.4 GB | 19.2 GB |
| Q6_K | 6.56 | 21.3 GB | 22.1 GB |
| Q8_0 | 8.50 | 27.6 GB | 28.4 GB |
| F16 | 16.00 | 52.0 GB | 52.8 GB |
Switch quantization in the interactive calculator, or see the full Gemma 4 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/gemma-4-26b-a4b)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.