What are the hardware requirements for NVIDIA Nemotron 3 Nano 4B BF16?

NVIDIA Nemotron 3 Nano 4B BF16 requires approximately 8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NVIDIA Nemotron 3 Nano 4B BF16 and how large is it?

NVIDIA Nemotron 3 Nano 4B BF16 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 3 Nano 4B BF16?

NVIDIA Nemotron 3 Nano 4B BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NVIDIA Nemotron 3 Nano 4B BF16 by nvidia — VRAM 8GB, 256K context

Name: NVIDIA Nemotron 3 Nano 4B BF16
Author: nvidia

NVIDIA Nemotron 3 Nano 4B BF16 is an open-source language model by nvidia. Features: 9b LLM, VRAM: 8GB, Context: 256K, License: other, Instruction-Based, LLM Explorer Score: 0.35.

Arxiv:2412.02595 Arxiv:2504.03624 Arxiv:2511.16664 Arxiv:2512.20848 Arxiv:2512.20856 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code Dataset:nvidia/nemotron-agenti... Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-compet... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-math-p... Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-rl-age... Dataset:nvidia/nemotron-rl-age... Dataset:nvidia/nemotron-rl-ins... Dataset:nvidia/nemotron-rl-ins... Dataset:nvidia/nemotron-scienc... En Endpoints compatible Instruct Nemotron h Nvidia Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16

NVIDIA Nemotron 3 Nano 4B BF16 Parameters and Internals

LLM Name	NVIDIA Nemotron 3 Nano 4B BF16
Repository 🤗	https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
Base Model(s)	NVIDIA Nemotron Nano 9B V2 nvidia/NVIDIA-Nemotron-Nano-9B-v2
Model Size	9b
Required VRAM	8 GB
Updated	2026-08-04
Maintainer	nvidia
Model Type	nemotron_h
Instruction-Based	Yes
Model Files	8.0 GB
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.53.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the NVIDIA Nemotron 3 Nano 4B BF16 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

Quantized Models of the NVIDIA Nemotron 3 Nano 4B BF16

Model	Likes	Downloads	VRAM
NVIDIA Nemotron 3 Nano 4B 4bit	2	445	2 GB
NVIDIA Nemotron 3 Nano 4B 6bit	1	47	3 GB

Best Alternatives to NVIDIA Nemotron 3 Nano 4B BF16

Best Alternatives	Context / RAM	Downloads	Likes
...A Nemotron Nano 9B V2 Japanese	128K / 17.8 GB	4264	140