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Nuextract 2.0 8b Gptq model by numind
⭐ 58.2
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Model

Nuextract 2.0 8b Gptq

by numind numind/nuextract-2.0-8b-gptq
Free2AITools Nexus Index
58.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 61
R: Recency 95
Q: Quality 65
Tech Context
8.29 Params
32.768K Ctx
Vital Performance
171.9K DL / 30D
Source β†’
Low FNI signal 58.2 FNI Score
8.29B Params
32k Context
Hot 171.9K Downloads
24G GPU ~9GB Est. VRAM
Dense QWEN2_5_VLFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID numind/nuextract-2.0-8b-gptq
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{numind_nuextract_2_0_8b_gptq,
  author = {numind},
  title = {Nuextract 2.0 8b Gptq Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/numind/NuExtract-2.0-8B-GPTQ}},
  note = {Accessed via Free2AITools.}
}
APA Style
numind. (2026). Nuextract 2.0 8b Gptq [Model]. Free2AITools. https://huggingface.co/numind/NuExtract-2.0-8B-GPTQ

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run nuextract-2.0-8b-gptq
πŸ€— HF Download
huggingface-cli download numind/nuextract-2.0-8b-gptq
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) 41
Popularity (P) 61
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Nuextract 2.0 8b Gptq: Authority (A:41), Popularity (P:61), Recency (R:95), 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
171.9KDownloads
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--nuextract-2.0-8b-gptq
slug
numind--nuextract-2.0-8b-gptq
source
huggingface
author
numind
license
MIT
tags
transformers, safetensors, qwen2_5_vl, image-text-to-text, conversational, base_model:numind/nuextract-2.0-8b, base_model:quantized:numind/nuextract-2.0-8b, license:mit, text-generation-inference, endpoints_compatible, 4-bit, gptq, region:us

βš™οΈ Technical Specs

architecture
Qwen2_5_VLForConditionalGeneration
params billions
8.29
context length
32,768
pipeline tag
image-text-to-text
vram gb
8.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
171,866
stars
null
forks
null

Data indexed from public sources. Updated daily.