What are the hardware requirements for Nemotron 3 Nano Omni 30B A3B Reasoning Bf16?

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 requires approximately 65.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 and how large is it?

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 is developed by mlx-community, 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 Omni 30B A3B Reasoning Bf16?

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 by mlx-community — VRAM 65.8GB

Name: Nemotron 3 Nano Omni 30B A3B Reasoning Bf16
Author: mlx-community

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 is an open-source language model by mlx-community. Features: 30b LLM, VRAM: 65.8GB, License: other, LLM Explorer Score: 0.24.

Base model:finetune:nvidia/nem... Base model:nvidia/nemotron-3-n... Conversational Dataset:nvidia/nemotron-image-... Image-text-to-text Mlx Multimodal Nemotronh nano omni reasoning ... Nvidia Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-bf16

Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 Parameters and Internals

LLM Name	Nemotron 3 Nano Omni 30B A3B Reasoning Bf16
Repository 🤗	https://huggingface.co/mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-bf16
Base Model(s)	...no Omni 30B A3B Reasoning BF16 nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
Model Size	30b
Required VRAM	65.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	NemotronH_Nano_Omni_Reasoning_V3
Model Files	4.7 GB: 1-of-14 4.1 GB: 2-of-14 5.4 GB: 3-of-14 5.4 GB: 4-of-14 5.3 GB: 5-of-14 5.3 GB: 6-of-14 5.3 GB: 7-of-14 4.1 GB: 8-of-14 5.3 GB: 9-of-14 4.1 GB: 10-of-14 5.3 GB: 11-of-14 5.3 GB: 12-of-14 5.4 GB: 13-of-14 0.8 GB: 14-of-14
Model Architecture	NemotronH_Nano_Omni_Reasoning_V3
License	other
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>

Rank the Nemotron 3 Nano Omni 30B A3B Reasoning Bf16 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

Best Alternatives to Nemotron 3 Nano Omni 30B A3B Reasoning Bf16

Best Alternatives	Context / RAM	Downloads	Likes
...no Omni 30B A3B Reasoning BF16	0K / 66.1 GB	447327	407
...A3B Reasoning Abliterated BF16	0K / 66.1 GB	17	0
... 3 Nano Omni 30B A3B Reasoning	0K / 66.1 GB	502	16
...o Omni 30B A3B Reasoning Mxfp8	0K / 34.8 GB	124	1
...no Omni 30B A3B Reasoning 4bit	0K / 19.6 GB	332	2
...no Omni 30B A3B Reasoning 8bit	0K / 35.7 GB	165	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-bf16.