What are the hardware requirements for NVIDIA Nemotron Nano 9B V2 FP8?

NVIDIA Nemotron Nano 9B V2 FP8 requires approximately 10.3 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 FP8 and how large is it?

NVIDIA Nemotron Nano 9B V2 FP8 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 FP8?

NVIDIA Nemotron Nano 9B V2 FP8 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 FP8 by nvidia — VRAM 10.3GB, 128K context

Name: NVIDIA Nemotron Nano 9B V2 FP8
Author: nvidia

NVIDIA Nemotron Nano 9B V2 FP8 is an open-source language model by nvidia. Features: 9b LLM, VRAM: 10.3GB, Context: 128K, License: other, LLM Explorer Score: 0.29.

Arxiv:2412.02595 Arxiv:2504.03624 Arxiv:2508.14444 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code Dataset:nvidia/nemotron-cc-mat... Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... De En Endpoints compatible Es Fr It Ja Nemotron h Nvidia Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8

NVIDIA Nemotron Nano 9B V2 FP8 Parameters and Internals

LLM Name	NVIDIA Nemotron Nano 9B V2 FP8
Repository 🤗	https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8
Base Model(s)	NVIDIA Nemotron Nano 9B V2 nvidia/NVIDIA-Nemotron-Nano-9B-v2
Model Size	9b
Required VRAM	10.3 GB
Updated	2026-07-11
Maintainer	nvidia
Model Type	nemotron_h
Model Files	3.9 GB: 1-of-10 4.0 GB: 2-of-10 2.4 GB: 3-of-10 0.0 GB: 4-of-10 0.0 GB: 5-of-10 0.0 GB: 6-of-10 0.0 GB: 7-of-10 0.0 GB: 8-of-10 0.0 GB: 9-of-10 0.0 GB: 10-of-10
Supported Languages	en es fr de it ja
Model Architecture	NemotronHForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the NVIDIA Nemotron Nano 9B V2 FP8 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 FP8

Best Alternatives	Context / RAM	Downloads	Likes
NVIDIA Nemotron 3 Nano 4B BF16	256K / 8 GB	734953	105
...A Nemotron Nano 9B V2 Japanese	128K / 17.8 GB	4264	140
...VIDIA Nemotron Nano 9B V2 Base	128K / 17.7 GB	41917	46
...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-FP8.