🧠
Openmed Ner Oncologydetect Superclinical 434m model by OpenMed
⭐ 41.8
🧠
Model

Openmed Ner Oncologydetect Superclinical 434m

by OpenMed hf-model--openmed--openmed-ner-oncologydetect-superclinical-434m
Nexus Index
41.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 59
R: Recency 59
Q: Quality 65
Tech Context
0.434B Params
Vital Performance
140.9K DL / 30D
0.0%
Source →
Audited 41.8 FNI Score
Tiny 0.434B Params
- Context
Hot 140.9K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--openmed--openmed-ner-oncologydetect-superclinical-434m
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~1.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__openmed__openmed_ner_oncologydetect_superclinical_434m,
  author = {OpenMed},
  title = {Openmed Ner Oncologydetect Superclinical 434m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/openmed/openmed-ner-oncologydetect-superclinical-434m}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
OpenMed. (2026). Openmed Ner Oncologydetect Superclinical 434m [Model]. Free2AITools. https://huggingface.co/openmed/openmed-ner-oncologydetect-superclinical-434m

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run openmed-ner-oncologydetect-superclinical-434m
🤗 HF Download
huggingface-cli download openmed/openmed-ner-oncologydetect-superclinical-434m
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
41.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 59
Recency (R) 59
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Openmed Ner Oncologydetect Superclinical 434m: Semantic (S:50), Authority (A:0), Popularity (P:59), Recency (R:59), Quality (Q:65).

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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⚡

Deployment Guide

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Technical Deep Dive

⚠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
140.9KDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face 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
hf-model--openmed--openmed-ner-oncologydetect-superclinical-434m
slug
openmed--openmed-ner-oncologydetect-superclinical-434m
source
huggingface
author
OpenMed
license
Apache-2.0
tags
transformers, safetensors, deberta-v2, token-classification, named-entity-recognition, biomedical-nlp, cancer-genetics, oncology, gene-regulation, cancer-research, amino_acid, anatomical_system, cancer, cell, cellular_component, developing_anatomical_structure, gene_or_gene_product, immaterial_anatomical_entity, multi-tissue_structure, organ, organism, organism_subdivision, organism_substance, pathological_formation, simple_chemical, tissue, en, arxiv:2508.01630, license:apache-2.0, endpoints_co

⚙ī¸ Technical Specs

architecture
null
params billions
0.434
context length
null
pipeline tag
token-classification
vram gb
1.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
140,910
stars
0
forks
0

Data indexed from public sources. Updated daily.