🧠
Openmed Pii Italian Supermedical Base 125m V1 Mlx model by OpenMed
⭐ 37.5
🧠
Model

Openmed Pii Italian Supermedical Base 125m V1 Mlx

by OpenMed openmed/openmed-pii-italian-supermedical-base-125m-v1-mlx
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 5
R: Recency 91
Q: Quality 50
Tech Context
512 Ctx
Vital Performance
51 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
1k Context
51 Downloads
Dense ROBERTAFORTOKENCLASSIFICATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID openmed/openmed-pii-italian-supermedical-base-125m-v1-mlx
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{openmed_openmed_pii_italian_supermedical_base_125m_v1_mlx,
  author = {OpenMed},
  title = {Openmed Pii Italian Supermedical Base 125m V1 Mlx Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/OpenMed/OpenMed-PII-Italian-SuperMedical-Base-125M-v1-mlx}},
  note = {Accessed via Free2AITools.}
}
APA Style
OpenMed. (2026). Openmed Pii Italian Supermedical Base 125m V1 Mlx [Model]. Free2AITools. https://huggingface.co/OpenMed/OpenMed-PII-Italian-SuperMedical-Base-125M-v1-mlx

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download openmed/openmed-pii-italian-supermedical-base-125m-v1-mlx

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 5
Recency (R) 91
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Openmed Pii Italian Supermedical Base 125m V1 Mlx: Authority (A:0), Popularity (P:5), Recency (R:91), Quality (Q:50). 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.

Social Proof

HuggingFace Hub
51Downloads
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--openmed--openmed-pii-italian-supermedical-base-125m-v1-mlx
slug
openmed--openmed-pii-italian-supermedical-base-125m-v1-mlx
source
huggingface
author
OpenMed
license
Apache-2.0
tags
openmed, roberta, mlx, apple-silicon, token-classification, pii, de-identification, medical, clinical, license:apache-2.0, region:us, it

βš™οΈ Technical Specs

architecture
RobertaForTokenClassification
context length
512
pipeline tag
token-classification

πŸ“Š Engagement & Metrics

downloads
51
stars
0
forks
0

Data indexed from public sources. Updated daily.