What are the hardware requirements for NVIDIA Nemotron Nano 9B V2 Base?

NVIDIA Nemotron Nano 9B V2 Base requires approximately 17.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NVIDIA Nemotron Nano 9B V2 Base and how large is it?

NVIDIA Nemotron Nano 9B V2 Base is developed by nvidia, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate NVIDIA Nemotron Nano 9B V2 Base?

NVIDIA Nemotron Nano 9B V2 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NVIDIA Nemotron Nano 9B V2 Base by nvidia — VRAM 17.7GB, 128K context

Name: NVIDIA Nemotron Nano 9B V2 Base
Author: nvidia

NVIDIA Nemotron Nano 9B V2 Base is an open-source language model by nvidia. Features: 9b LLM, VRAM: 17.7GB, Context: 128K, License: other, LLM Explorer Score: 0.27.

Arxiv:2508.14444 Ar Da Dataset:nvidia/nemotron-cc-mat... Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... De En Endpoints compatible Es Fr It Ja Ko Nl Nvidia Pl Pt Pytorch Region:us Ru Safetensors Sharded Sv Tensorflow Th Zh

Model Card on HF 🤗: https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Base

NVIDIA Nemotron Nano 9B V2 Base Parameters and Internals

LLM Name	NVIDIA Nemotron Nano 9B V2 Base
Repository 🤗	https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Base
Model Size	9b
Required VRAM	17.7 GB
Updated	2026-07-04
Maintainer	nvidia
Model Type	nemotron_h
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 3.0 GB: 4-of-4
Supported Languages	en es fr de ja it pt zh ar da ko nl pl ru sv th
Model Architecture	NemotronHForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the NVIDIA Nemotron Nano 9B V2 Base capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to NVIDIA Nemotron Nano 9B V2 Base

Best Alternatives	Context / RAM	Downloads	Likes
NVIDIA Nemotron 3 Nano 4B BF16	256K / 8 GB	734953	105
NVIDIA Nemotron Nano 9B V2 FP8	128K / 10.3 GB	222442	9
...A Nemotron Nano 9B V2 Japanese	128K / 17.8 GB	4264	140
...IDIA Nemotron Nano 9B V2 NVFP4	128K / 7.9 GB	13468	26
...IDIA Nemotron Nano 9B V2 4bits	128K / 5 GB	573	3
NVIDIA Nemotron Nano 9B V2	128K / 17.7 GB	347	6

Note: green Score (e.g. "73.2") means that the model is better than nvidia/NVIDIA-Nemotron-Nano-9B-v2-Base.