🧠
Nemotron Nano V2 12b Vl model by nvidia
⭐ 39.7
🧠
Model

Nemotron Nano V2 12b Vl

by nvidia replicate-model--nvidia--nemotron-nano-v2-12b-vl
Free2AITools Nexus Index
39.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 48
R: Recency 69
Q: Quality 45
Tech Context
12 Params
4.096K Ctx
Vital Performance
988 DL / 30D
0.0%
Source →
Audited 39.7 FNI Score
12B Params
4k Context
988 Downloads
24G GPU ~11GB Est. VRAM
Restricted CUSTOM License
Model Information Summary
Entity Passport
Registry ID replicate-model--nvidia--nemotron-nano-v2-12b-vl
License custom
Provider replicate
💾

Compute Threshold

~10.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{replicate_model__nvidia__nemotron_nano_v2_12b_vl,
  author = {nvidia},
  title = {Nemotron Nano V2 12b Vl Model},
  year = {2026},
  howpublished = {\url{https://replicate.com/nvidia/nemotron-nano-v2-12b-vl}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
nvidia. (2026). Nemotron Nano V2 12b Vl [Model]. Free2AITools. https://replicate.com/nvidia/nemotron-nano-v2-12b-vl

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run nemotron-nano-v2-12b-vl

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 48
Recency (R) 69
Quality (Q) 45

đŸ’Ŧ Index Insight

FNI V2.0 for Nemotron Nano V2 12b Vl: Semantic (S:50), Authority (A:0), Popularity (P:48), Recency (R:69), Quality (Q:45).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

📊

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Compare Benchmarks

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⚡

Deployment Guide

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Technical Deep Dive

A multi-modal AI model for visual Q&A, summarization, and data extraction, supporting text, images, and video.

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
988Downloads
Hub Discussions
⚡ Data Source: Replicate ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Replicate metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
replicate-model--nvidia--nemotron-nano-v2-12b-vl
slug
nvidia--nemotron-nano-v2-12b-vl
source
replicate
author
nvidia
license
custom
tags
public, image, text, video

⚙ī¸ Technical Specs

architecture
null
params billions
12
context length
4,096
pipeline tag
vram gb
10.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
988
stars
0
forks
0

Data indexed from public sources. Updated daily.