What are the hardware requirements for Llama 3.1 Nemotron Nano 4B V1.1?

Llama 3.1 Nemotron Nano 4B V1.1 requires approximately 9 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 Llama 3.1 Nemotron Nano 4B V1.1 and how large is it?

Llama 3.1 Nemotron Nano 4B V1.1 is developed by nvidia, a model with 4b 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 Llama 3.1 Nemotron Nano 4B V1.1?

Llama 3.1 Nemotron Nano 4B V1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Nemotron Nano 4B V1.1 by nvidia — VRAM 9GB, 128K context

Name: Llama 3.1 Nemotron Nano 4B V1.1
Author: nvidia

Llama 3.1 Nemotron Nano 4B V1.1 is an open-source language model by nvidia. Features: 4b LLM, VRAM: 9GB, Context: 128K, License: other, LLM Explorer Score: 0.22.

Arxiv:2408.11796 Arxiv:2502.00203 Arxiv:2505.00949 Base model:finetune:nvidia/lla... Base model:nvidia/llama-3.1-mi... Conversational Dataset:nvidia/llama-nemotron-... En Endpoints compatible Llama Llama-3 Nvidia Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1

Llama 3.1 Nemotron Nano 4B V1.1 Parameters and Internals

LLM Name	Llama 3.1 Nemotron Nano 4B V1.1
Repository 🤗	https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1
Base Model(s)	nvidia/Llama-3.1-Minitron-4B-Width-Base nvidia/Llama-3.1-Minitron-4B-Width-Base
Model Size	4b
Required VRAM	9 GB
Updated	2026-08-02
Maintainer	nvidia
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.0 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 Nemotron Nano 4B V1.1 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

Quantized Models of the Llama 3.1 Nemotron Nano 4B V1.1

Model	Likes	Downloads	VRAM
...Nemotron Nano 4B V1.1 Bnb 4bit	0	218	3 GB
... Nano 4B V1.1 Unsloth Bnb 4bit	1	66	3 GB

Best Alternatives to Llama 3.1 Nemotron Nano 4B V1.1

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	24	14
Impish LLAMA 4B	128K / 9 GB	50	66

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1.