🧠
Mama Deid model by mamahealth
⭐ 39.2
🧠
Model

Mama Deid

by mamahealth mamahealth/mama-deid
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 95
Q: Quality 65
Tech Context
0.35B Params
4.096K Ctx
Vital Performance
33 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
Tiny 0.35B Params
4k Context
33 Downloads
8G GPU ~2GB Est. VRAM
Dense LFM2BIDIRP2FORTOKENCLASSIFICATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID mamahealth/mama-deid
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mamahealth_mama_deid,
  author = {mamahealth},
  title = {Mama Deid Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mamahealth/mama-deid}},
  note = {Accessed via Free2AITools.}
}
APA Style
mamahealth. (2026). Mama Deid [Model]. Free2AITools. https://huggingface.co/mamahealth/mama-deid

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mama-deid
πŸ€— HF Download
huggingface-cli download mamahealth/mama-deid
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) 0
Popularity (P) 4
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mama Deid: Authority (A:0), Popularity (P:4), 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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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.

Social Proof

HuggingFace Hub
33Downloads
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--mamahealth--mama-deid
slug
mamahealth--mama-deid
source
huggingface
author
mamahealth
license
Other
tags
transformers, safetensors, lfm2, token-classification, de-identification, anonymization, pii, medical, clinical, healthcare, multilingual, custom_code, en, de, it, fr, es, nl, pt, pl, tr, el, ru, uk, ar, he, fa, hi, id, vi, th, zh, ja, ko, dataset:nvidia/nemotron-pii, license:other, region:us

βš™οΈ Technical Specs

architecture
Lfm2BidirP2ForTokenClassification
params billions
0.35
context length
4,096
pipeline tag
token-classification
vram gb
1.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
33

Data indexed from public sources. Updated daily.