llama
8B parameters
Commercial OK
Llama 3.1 Nemotron Nano 8B
Smallest of the Nemotron reasoning trio. NAS-optimized for inference efficiency on RTX hardware.
License: Llama 3.1 Community License·Released Apr 8, 2025·Context: 131,072 tokens
Overview
Smallest of the Nemotron reasoning trio. NAS-optimized for inference efficiency on RTX hardware.
Strengths
- RTX-optimized
- Reasoning at 8B
Weaknesses
- NVIDIA license terms
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 4.9 GB | 6 GB |
Get the model
HuggingFace
Original weights
huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Llama 3.1 Nemotron Nano 8B.
Compare alternatives
Models worth comparing
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Same tier
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Step up
More capable — bigger memory footprint
Step down
Smaller — faster, runs on weaker hardware
Frequently asked
What's the minimum VRAM to run Llama 3.1 Nemotron Nano 8B?
6GB of VRAM is enough to run Llama 3.1 Nemotron Nano 8B at the Q4_K_M quantization (file size 4.9 GB). Higher-quality quantizations need more.
Can I use Llama 3.1 Nemotron Nano 8B commercially?
Yes — Llama 3.1 Nemotron Nano 8B ships under the Llama 3.1 Community License, which permits commercial use. Always read the license text before deployment.
What's the context length of Llama 3.1 Nemotron Nano 8B?
Llama 3.1 Nemotron Nano 8B supports a context window of 131,072 tokens (about 131K).
Source: huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1
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