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Ironjean 1.0 Modernbert Waf model by Metabaron6
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Model

Ironjean 1.0 Modernbert Waf

by Metabaron6 metabaron6/ironjean-1.0-modernbert-waf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 6
R: Recency 97
Q: Quality 65
Tech Context
0.15B Params
4.096K Ctx
Vital Performance
60 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.15B Params
4k Context
60 Downloads
8G GPU ~2GB Est. VRAM
Dense MODERNBERTFORSEQUENCECLASSIFICATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID metabaron6/ironjean-1.0-modernbert-waf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{metabaron6_ironjean_1_0_modernbert_waf,
  author = {Metabaron6},
  title = {Ironjean 1.0 Modernbert Waf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Metabaron6/IronJean-1.0-ModernBERT-WAF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Metabaron6. (2026). Ironjean 1.0 Modernbert Waf [Model]. Free2AITools. https://huggingface.co/Metabaron6/IronJean-1.0-ModernBERT-WAF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ironjean-1.0-modernbert-waf
πŸ€— HF Download
huggingface-cli download metabaron6/ironjean-1.0-modernbert-waf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 6
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ironjean 1.0 Modernbert Waf: Authority (A:29), Popularity (P:6), Recency (R:97), 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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⚠️ Incomplete Data

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

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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.

Social Proof

HuggingFace Hub
60Downloads
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--metabaron6--ironjean-1.0-modernbert-waf
slug
metabaron6--ironjean-1.0-modernbert-waf
source
huggingface
author
Metabaron6
license
Apache-2.0
tags
onnx, safetensors, modernbert, security, waf, text-classification, en, base_model:answerdotai/modernbert-base, base_model:quantized:answerdotai/modernbert-base, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
ModernBertForSequenceClassification
params billions
0.15
context length
4,096
pipeline tag
text-classification
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
60

Data indexed from public sources. Updated daily.