What are the hardware requirements for Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD?

Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD requires approximately 7.4 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 FP4 QAD and how large is it?

Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD 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 FP4 QAD?

Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD 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 FP4 QAD by nvidia — VRAM 7.4GB

Name: Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD
Author: nvidia

Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD is an open-source language model by nvidia. Features: 8b LLM, VRAM: 7.4GB, License: other.

8-bit Conversational Custom code Feature-extraction Fp4 Image-text-to-text Llama3.1 Llama nemotron nano vl Modelopt Nvidia Region:us Safetensors Sharded Tensorflow Vlm

Model Card on HF 🤗: https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1-FP4-QAD

Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD Parameters and Internals

LLM Name	Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD
Repository 🤗	https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1-FP4-QAD
Model Size	8b
Required VRAM	7.4 GB
Updated	2026-08-10
Maintainer	nvidia
Model Type	Llama_Nemotron_Nano_VL
Model Files	5.0 GB: 1-of-2 2.4 GB: 2-of-2
Model Architecture	Llama_Nemotron_Nano_VL
License	other
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Torch Data Type	bfloat16

Rank the Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD 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 Llama 3.1 Nemotron Nano VL 8B V1 FP4 QAD

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1-FP4-QAD.