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

Llama 3.1 Nemotron Nano 8B V1 GGUF requires approximately 2.2 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 8B V1 GGUF and how large is it?

Llama 3.1 Nemotron Nano 8B V1 GGUF is developed by unsloth, 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 8B V1 GGUF?

Llama 3.1 Nemotron Nano 8B V1 GGUF 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 8B V1 GGUF by unsloth — VRAM 2.2GB, 128K context

Name: Llama 3.1 Nemotron Nano 8B V1 GGUF
Author: unsloth

Llama 3.1 Nemotron Nano 8B V1 GGUF is an open-source language model by unsloth. Features: 8b LLM, VRAM: 2.2GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.2.

Arxiv:2502.00203 Arxiv:2505.00949 Base model:nvidia/llama-3.1-ne... Base model:quantized:nvidia/ll... Conversational En Endpoints compatible Gguf Llama Nvidia Q2 Quantized Region:us Unsloth - llama-3 - pytorch

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.1-Nemotron-Nano-8B-v1-GGUF

Llama 3.1 Nemotron Nano 8B V1 GGUF Parameters and Internals

LLM Name	Llama 3.1 Nemotron Nano 8B V1 GGUF
Repository 🤗	https://huggingface.co/unsloth/Llama-3.1-Nemotron-Nano-8B-v1-GGUF
Base Model(s)	nvidia/Llama-3.1-Nemotron-Nano-8B-v1 nvidia/Llama-3.1-Nemotron-Nano-8B-v1
Model Size	8b
Required VRAM	2.2 GB
Updated	2026-05-20
Maintainer	unsloth
Model Type	llama
Model Files	16.1 GB 4.7 GB 4.5 GB 3.2 GB 3.3 GB 4.0 GB 3.7 GB 4.7 GB 5.1 GB 4.9 GB 4.7 GB 5.7 GB 5.6 GB 6.6 GB 2.3 GB 2.2 GB 3.0 GB 2.5 GB 3.3 GB 3.4 GB 4.2 GB 5.0 GB 5.7 GB 7.3 GB 10.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.2
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 Nemotron Nano 8B V1 GGUF 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 8B V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
10K V6	1024K / 16.1 GB	5	0
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Unhinged Llama3 8B 524K	512K / 26.5 GB	25	0
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Dolphin3 Cyber 8B GGUF	128K / 3.2 GB	59950	150
...s Abliterated V2 Base And GGUF	128K / 16.1 GB	301	2
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
Dolphin3 Cyber 8B GGUF	128K / 3.2 GB	456	1
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	498	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Llama-3.1-Nemotron-Nano-8B-v1-GGUF.