Nemotron 70B Instruct — VRAM Requirements
Written by Jakub Rusinowski · Last updated October 15, 2024
How much GPU VRAM you need to run Nemotron 70B Nemotron 70B Instruct by NVIDIA locally, a 70.6B-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.
Nemotron 70B Instruct needs about 46 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 23.2 GB | 26.7 GB |
| Q3_K_M | 3.41 | 30.1 GB | 33.6 GB |
| Q4_K_M | 4.83 | 42.6 GB | 46.1 GB |
| Q5_K_M | 5.67 | 50.0 GB | 53.5 GB |
| Q6_K | 6.56 | 57.9 GB | 61.4 GB |
| Q8_0 | 8.50 | 75.0 GB | 78.5 GB |
| F16 | 16.00 | 141.2 GB | 144.7 GB |
Switch quantization in the interactive calculator, or see the full Nemotron 70B model page.
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
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/nemotron-70b-instruct?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=nemotron-70b-instruct)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.