🧠
Hubert Ecg Small model by Edoardo Bs
⭐ 37.1
🧠
Model

Hubert Ecg Small

by Edoardo Bs edoardo-bs/hubert-ecg-small
Free2AITools Nexus Index
37.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 42
P: Popularity 33
R: Recency 81
Q: Quality 65
Tech Context
0.03B Params
4.096K Ctx
Vital Performance
2.2K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.1 FNI Score
Tiny 0.03B Params
4k Context
2.2K Downloads
8G GPU ~2GB Est. VRAM
Dense HUBERTECG Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID edoardo-bs/hubert-ecg-small
License CC-BY-NC-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edoardo_bs_hubert_ecg_small,
  author = {Edoardo Bs},
  title = {Hubert Ecg Small Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/Edoardo-BS/hubert-ecg-small}},
  note = {Accessed via Free2AITools.}
}
APA Style
Edoardo Bs. (2024). Hubert Ecg Small [Model]. Free2AITools. https://huggingface.co/Edoardo-BS/hubert-ecg-small

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run hubert-ecg-small
πŸ€— HF Download
huggingface-cli download edoardo-bs/hubert-ecg-small
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) 42
Popularity (P) 33
Recency (R) 81
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Hubert Ecg Small: Authority (A:42), Popularity (P:33), Recency (R:81), 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.

Social Proof

HuggingFace Hub
2.2KDownloads
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--edoardo-bs--hubert-ecg-small
slug
edoardo-bs--hubert-ecg-small
source
huggingface
author
Edoardo Bs
license
CC-BY-NC-4.0
tags
transformers, safetensors, hubert_ecg, feature-extraction, medical, custom_code, license:cc-by-nc-4.0, region:us

βš™οΈ Technical Specs

architecture
HuBERTECG
params billions
0.03
context length
4,096
pipeline tag
feature-extraction
vram gb
1.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,242
stars
0
forks
0

Data indexed from public sources. Updated daily.