What are the hardware requirements for Nemotron 3 Nano Omni 30B A3B JANG 6M?

Nemotron 3 Nano Omni 30B A3B JANG 6M requires approximately 29.2 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 Omni 30B A3B JANG 6M and how large is it?

Nemotron 3 Nano Omni 30B A3B JANG 6M is developed by OsaurusAI, 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 JANG 6M?

Nemotron 3 Nano Omni 30B A3B JANG 6M 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 JANG 6M by OsaurusAI — VRAM 29.2GB, 256K context

Name: Nemotron 3 Nano Omni 30B A3B JANG 6M
Author: OsaurusAI

Nemotron 3 Nano Omni 30B A3B JANG 6M is an open-source language model by OsaurusAI. Features: 30b LLM, VRAM: 29.2GB, Context: 256K, License: other, LLM Explorer Score: 0.29.

Apple-silicon Audio Base model:finetune:nvidia/nem... Base model:nvidia/nemotron-3-n... Conversational Custom code En Image-text-to-text Jang Jang 6m Mamba Mamba2 Mixture-of-experts Mlx Multimodal Nemotron Nemotron-h Nemotron h Omni Reasoning Region:us Safetensors Sharded Speech Ssm Tensorflow Video Vision

Model Card on HF 🤗: https://huggingface.co/OsaurusAI/Nemotron-3-Nano-Omni-30B-A3B-JANG_6M

Nemotron 3 Nano Omni 30B A3B JANG 6M Parameters and Internals

LLM Name	Nemotron 3 Nano Omni 30B A3B JANG 6M
Repository 🤗	https://huggingface.co/OsaurusAI/Nemotron-3-Nano-Omni-30B-A3B-JANG_6M
Base Model(s)	...no Omni 30B A3B Reasoning BF16 nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
Model Size	30b
Required VRAM	29.2 GB
Updated	2026-08-25
Maintainer	OsaurusAI
Model Type	nemotron_h
Model Files	4.3 GB: 1-of-7 4.5 GB: 2-of-7 4.7 GB: 3-of-7 4.7 GB: 4-of-7 4.7 GB: 5-of-7 4.7 GB: 6-of-7 1.6 GB: 7-of-7
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron 3 Nano Omni 30B A3B JANG 6M 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 Omni 30B A3B JANG 6M

Best Alternatives	Context / RAM	Downloads	Likes
...on 3.5 Lightning 30B A3B NVFP4	1024K / 12.6 GB	19250	100
...30B A3B NVFP4 Global Pruned 15	1024K / 11 GB	148	19
...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
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
Nemotron Cascade 2 30B A3B	256K / 63.2 GB	88240	518
...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 3.5 Lightning 30B A3B	256K / 65.9 GB	474	4
...otron 3 Nano 30B A3B Base BF16	256K / 63.2 GB	90736	127

Note: green Score (e.g. "73.2") means that the model is better than OsaurusAI/Nemotron-3-Nano-Omni-30B-A3B-JANG_6M.