Written by Jakub Rusinowski · Last updated August 15, 2026
How much GPU VRAM you need to run Poolside Laguna XS 2.1 Laguna XS 2.1 33B-A3B by Poolside locally, a 33B-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.
Laguna XS 2.1 33B-A3B needs about 21 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 10.8 GB | 11.6 GB |
| Q3_K_M | 3.41 | 14.1 GB | 14.9 GB |
| Q4_K_M | 4.83 | 19.9 GB | 20.7 GB |
| Q5_K_M | 5.67 | 23.4 GB | 24.2 GB |
| Q6_K | 6.56 | 27.1 GB | 27.9 GB |
| Q8_0 | 8.50 | 35.1 GB | 35.9 GB |
| F16 | 16.00 | 66.0 GB | 66.8 GB |
Switch quantization in the interactive calculator, or see the full Poolside Laguna XS 2.1 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/poolside-laguna-xs-2-1?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=poolside-laguna-xs-2-1)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.