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Nemotron 3 Nano Omni 30b A3b Reasoning Bf16 model by nvidia
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Model

Nemotron 3 Nano Omni 30b A3b Reasoning Bf16

by nvidia nvidia/nemotron-3-nano-omni-30b-a3b-reasoning-bf16
Free2AITools Nexus Index
61.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 68
R: Recency 82
Q: Quality 65
Tech Context
33.02 Params
8.192K Ctx
Vital Performance
910.4K DL / 30D
Source β†’
Low FNI signal 61 FNI Score
33.02B Params
8k Context
Hot 910.4K Downloads
H100+ ~28GB Est. VRAM
Dense NEMOTRONH_NANO_OMNI_REASONING_V3 Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID nvidia/nemotron-3-nano-omni-30b-a3b-reasoning-bf16
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~27.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{nvidia_nemotron_3_nano_omni_30b_a3b_reasoning_bf16,
  author = {nvidia},
  title = {Nemotron 3 Nano Omni 30b A3b Reasoning Bf16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16}},
  note = {Accessed via Free2AITools.}
}
APA Style
nvidia. (2026). Nemotron 3 Nano Omni 30b A3b Reasoning Bf16 [Model]. Free2AITools. https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run nemotron-3-nano-omni-30b-a3b-reasoning-bf16
πŸ€— HF Download
huggingface-cli download nvidia/nemotron-3-nano-omni-30b-a3b-reasoning-bf16
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 56
Popularity (P) 68
Recency (R) 82
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Nemotron 3 Nano Omni 30b A3b Reasoning Bf16: Authority (A:56), Popularity (P:68), Recency (R:82), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
910.4KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--nvidia--nemotron-3-nano-omni-30b-a3b-reasoning-bf16
slug
nvidia--nemotron-3-nano-omni-30b-a3b-reasoning-bf16
source
huggingface
author
nvidia
license
Other
tags
transformers, safetensors, nemotronh_nano_omni_reasoning_v3, feature-extraction, nvidia, pytorch, multimodal, any-to-any, custom_code, dataset:nvidia/nemotron-image-training-v3, arxiv:2604.24954, license:other, deploy:azure, region:us, eval-results

βš™οΈ Technical Specs

architecture
NemotronH_Nano_Omni_Reasoning_V3
params billions
33.02
context length
8,192
pipeline tag
any-to-any
vram gb
27.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
910,422
stars
null
forks
null

Data indexed from public sources. Updated daily.