Ternary Bonsai 27B — VRAM Requirements
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
How much GPU VRAM you need to run Bonsai 27B Ternary Bonsai 27B by PrismML locally, a 27B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Ternary Bonsai 27B needs about 17 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 8.9 GB | 9.7 GB |
| Q3_K_M | 3.41 | 11.5 GB | 12.3 GB |
| Q4_K_M | 4.83 | 16.3 GB | 17.1 GB |
| Q5_K_M | 5.67 | 19.1 GB | 19.9 GB |
| Q6_K | 6.56 | 22.1 GB | 22.9 GB |
| Q8_0 | 8.50 | 28.7 GB | 29.5 GB |
| F16 | 16.00 | 54.0 GB | 54.8 GB |
Switch quantization in the interactive calculator, or see the full Bonsai 27B model page.
Add this badge to your model card
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/bonsai-27b-ternary)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.