Written by Jakub Rusinowski · Last updated July 21, 2026
How much GPU VRAM you need to run Cosmos 3 Cosmos 3 Nano by NVIDIA locally, a 16B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Cosmos 3 Nano needs about 10 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 5.3 GB | 6.1 GB |
| Q3_K_M | 3.41 | 6.8 GB | 7.6 GB |
| Q4_K_M | 4.83 | 9.7 GB | 10.5 GB |
| Q5_K_M | 5.67 | 11.3 GB | 12.1 GB |
| Q6_K | 6.56 | 13.1 GB | 13.9 GB |
| Q8_0 | 8.50 | 17.0 GB | 17.8 GB |
| F16 | 16.00 | 32.0 GB | 32.8 GB |
Switch quantization in the interactive calculator, or see the full Cosmos 3 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/cosmos-3-nano)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.