What are the hardware requirements for Nemotron 3 Nano 30B A3B FP8?

Nemotron 3 Nano 30B A3B FP8 requires approximately 32.7 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 Nemotron 3 Nano 30B A3B FP8 and how large is it?

Nemotron 3 Nano 30B A3B FP8 is developed by unsloth, a model with 30b 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 Nemotron 3 Nano 30B A3B FP8?

Nemotron 3 Nano 30B A3B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3 Nano 30B A3B FP8 by unsloth — VRAM 32.7GB, 256K context

Name: Nemotron 3 Nano 30B A3B FP8
Author: unsloth

Nemotron 3 Nano 30B A3B FP8 is an open-source language model by unsloth. Features: 30b LLM, VRAM: 32.7GB, Context: 256K, License: other, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Dataset:nvidia/nemotron-3-nano... Dataset:nvidia/nemotron-agenti... Dataset:nvidia/nemotron-cc-cod... Dataset:nvidia/nemotron-cc-mat... Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-cc-v2.... Dataset:nvidia/nemotron-compet... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-math-p... Dataset:nvidia/nemotron-math-v... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-scienc... De En Endpoints compatible Es Fr Instruct It Ja Nvidia Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-FP8

Nemotron 3 Nano 30B A3B FP8 Parameters and Internals

LLM Name	Nemotron 3 Nano 30B A3B FP8
Repository 🤗	https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-FP8
Base Model(s)	...A Nemotron 3 Nano 30B A3B BF16 nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Model Size	30b
Required VRAM	32.7 GB
Updated	2026-07-20
Maintainer	unsloth
Model Type	nemotron_h
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-10 4.0 GB: 2-of-10 4.0 GB: 3-of-10 4.0 GB: 4-of-10 4.0 GB: 5-of-10 4.0 GB: 6-of-10 4.0 GB: 7-of-10 4.0 GB: 8-of-10 0.7 GB: 9-of-10 0.0 GB: 10-of-10
Supported Languages	en es fr de ja it
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.0.0rc1
Tokenizer Class	TokenizersBackend
Padding Token	<SPECIAL_999>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron 3 Nano 30B A3B FP8 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 Nemotron 3 Nano 30B A3B FP8

Best Alternatives	Context / RAM	Downloads	Likes
...A Nemotron 3 Nano 30B A3B BF16	256K / 63.2 GB	1645889	752
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
...IA Nemotron 3 Nano 30B A3B FP8	256K / 32.7 GB	566152	356
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
Nemotron 3 Nano 30B A3B	256K / 63.2 GB	174315	14
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	2002	15
...otron 3 Nano 30B A3B MLX MXFP4	256K / 16.8 GB	604	3
...on 3 Nano 30B A3B BF16 Heretic	256K / 63.2 GB	21	2
...motron 3 Nano 30B A3B MLX BF16	256K / 62.9 GB	444	0
...motron 3 Nano 30B A3B MLX 4Bit	256K / 17.8 GB	205	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Nemotron-3-Nano-30B-A3B-FP8.