🧠
NuExtract3 model by numind
⭐ 55.5
🧠
Model

NuExtract3

by numind numind/nuextract3
Free2AITools Nexus Index
55.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 57
R: Recency 98
Q: Quality 65
Tech Context
4.54 Params
32.768K Ctx
Vital Performance
80.3K DL / 30D
Source β†’
Low FNI signal 55.5 FNI Score
4.54B Params
32k Context
Hot 80.3K Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID numind/nuextract3
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{numind_nuextract3,
  author = {numind},
  title = {NuExtract3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/numind/NuExtract3}},
  note = {Accessed via Free2AITools.}
}
APA Style
numind. (2026). NuExtract3 [Model]. Free2AITools. https://huggingface.co/numind/NuExtract3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run nuextract3
πŸ€— HF Download
huggingface-cli download numind/nuextract3
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) 55
Popularity (P) 57
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for NuExtract3: Authority (A:55), Popularity (P:57), Recency (R:98), 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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Deployment reference

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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
80.3KDownloads
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--numind--nuextract3
slug
numind--nuextract3
source
huggingface
author
numind
license
Apache-2.0
tags
transformers, safetensors, qwen3_5, image-text-to-text, vision-language, vlm, document-understanding, structured-extraction, information-extraction, ocr, document-to-markdown, markdown, rag, reasoning, multilingual, conversational, base_model:qwen/qwen3.5-4b, base_model:finetune:qwen/qwen3.5-4b, license:apache-2.0, endpoints_compatible, region:us, image-to-text

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
4.54
context length
32,768
pipeline tag
image-to-text
vram gb
5.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
80,266
stars
null
forks
null

Data indexed from public sources. Updated daily.