🧠
Gliner2 Privacy Filter Pii Multi model by fastino
⭐ 60.3
🧠
Model

Gliner2 Privacy Filter Pii Multi

by fastino fastino/gliner2-privacy-filter-pii-multi
Free2AITools Nexus Index
60.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 59
R: Recency 99
Q: Quality 65
Tech Context
0.31B Params
4.096K Ctx
Vital Performance
121.9K DL / 30D
Source β†’
Low FNI signal 60.3 FNI Score
Tiny 0.31B Params
4k Context
Hot 121.9K Downloads
8G GPU ~2GB Est. VRAM
Dense EXTRACTOR Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID fastino/gliner2-privacy-filter-pii-multi
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{fastino_gliner2_privacy_filter_pii_multi,
  author = {fastino},
  title = {Gliner2 Privacy Filter Pii Multi Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/fastino/gliner2-privacy-filter-PII-multi}},
  note = {Accessed via Free2AITools.}
}
APA Style
fastino. (2026). Gliner2 Privacy Filter Pii Multi [Model]. Free2AITools. https://huggingface.co/fastino/gliner2-privacy-filter-PII-multi

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gliner2-privacy-filter-pii-multi
πŸ€— HF Download
huggingface-cli download fastino/gliner2-privacy-filter-pii-multi

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 52
Popularity (P) 59
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gliner2 Privacy Filter Pii Multi: Authority (A:52), Popularity (P:59), Recency (R:99), 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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πŸš€ What's Next?

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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
121.9KDownloads
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--fastino--gliner2-privacy-filter-pii-multi
slug
fastino--gliner2-privacy-filter-pii-multi
source
huggingface
author
fastino
license
Apache-2.0
tags
gliner2, safetensors, extractor, pii, ner, privacy, redaction, information-extraction, span-extraction, token-classification, en, fr, es, de, it, pt, nl, dataset:synthetic, arxiv:2605.09973, arxiv:2604.09791, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
extractor
params billions
0.31
context length
4,096
pipeline tag
token-classification
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
121,885
stars
null
forks
null

Data indexed from public sources. Updated daily.