What are the hardware requirements for Llama 3.1 Nemotron Nano VL 8B V1?

Llama 3.1 Nemotron Nano VL 8B V1 requires approximately 17.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Nemotron Nano VL 8B V1 and how large is it?

Llama 3.1 Nemotron Nano VL 8B V1 is developed by nvidia, a model with 8b 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 VL 8B V1?

Llama 3.1 Nemotron Nano VL 8B V1 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 VL 8B V1 by nvidia — VRAM 17.4GB

Name: Llama 3.1 Nemotron Nano VL 8B V1
Author: nvidia

Llama 3.1 Nemotron Nano VL 8B V1 is an open-source language model by nvidia. Features: 8b LLM, VRAM: 17.4GB, License: other, LLM Explorer Score: 0.3.

Endpoints compatible Image-text-to-text Llama3.1 Nvidia Region:us Safetensors Vlm

Model Card on HF 🤗: https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1

Llama 3.1 Nemotron Nano VL 8B V1 Parameters and Internals

LLM Name	Llama 3.1 Nemotron Nano VL 8B V1
Repository 🤗	https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1
Model Size	8b
Required VRAM	17.4 GB
Updated	2026-08-09
Maintainer	nvidia
Model Type	Llama_Nemotron_Nano_VL
Model Files	17.4 GB
Model Architecture	Llama_Nemotron_Nano_VL
License	other
Model Max Length	131072
Tokenizer Class	PreTrainedTokenizerFast
Torch Data Type	bfloat16

Rank the Llama 3.1 Nemotron Nano VL 8B V1 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

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