What are the hardware requirements for NVIDIA Nemotron Nano 9B V2 4bits?

NVIDIA Nemotron Nano 9B V2 4bits requires approximately 5 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 4bits and how large is it?

NVIDIA Nemotron Nano 9B V2 4bits is developed by mlx-community, 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 4bits?

NVIDIA Nemotron Nano 9B V2 4bits 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 4bits by mlx-community — VRAM 5GB, 128K context

Name: NVIDIA Nemotron Nano 9B V2 4bits
Author: mlx-community

NVIDIA Nemotron Nano 9B V2 4bits is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 5GB, Context: 128K, License: other, LLM Explorer Score: 0.21.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational 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 Es Fr It Ja Mlx Nvidia Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits

NVIDIA Nemotron Nano 9B V2 4bits Parameters and Internals

LLM Name	NVIDIA Nemotron Nano 9B V2 4bits
Repository 🤗	https://huggingface.co/mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits
Base Model(s)	NVIDIA Nemotron Nano 9B V2 nvidia/NVIDIA-Nemotron-Nano-9B-v2
Model Size	9b
Required VRAM	5 GB
Updated	2026-08-02
Maintainer	mlx-community
Model Type	nemotron_h
Model Files	5.0 GB
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 4bits 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 4bits

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
...VIDIA Nemotron Nano 9B V2 Base	128K / 17.7 GB	41917	46
...IDIA Nemotron Nano 9B V2 NVFP4	128K / 7.9 GB	13468	26
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 mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits.