🧠
Qsh Medical Breastmnist Resnet18 model by Daemons Q
⭐ 38.9
🧠
Model

Qsh Medical Breastmnist Resnet18

by Daemons Q daemons-q/qsh-medical-breastmnist-resnet18
Free2AITools Nexus Index
38.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
0.01B Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 38.9 FNI Score
Tiny 0.01B Params
4k Context
0 Downloads
8G GPU ~2GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID daemons-q/qsh-medical-breastmnist-resnet18
License Other
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{daemons_q_qsh_medical_breastmnist_resnet18,
  author = {Daemons Q},
  title = {Qsh Medical Breastmnist Resnet18 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Daemons-Q/qsh-medical-breastmnist-resnet18}},
  note = {Accessed via Free2AITools.}
}
APA Style
Daemons Q. (2026). Qsh Medical Breastmnist Resnet18 [Model]. Free2AITools. https://huggingface.co/Daemons-Q/qsh-medical-breastmnist-resnet18

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qsh-medical-breastmnist-resnet18
πŸ€— HF Download
huggingface-cli download daemons-q/qsh-medical-breastmnist-resnet18

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) 0
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qsh Medical Breastmnist Resnet18: Authority (A:0), Popularity (P:0), Recency (R:98), 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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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.
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--daemons-q--qsh-medical-breastmnist-resnet18
slug
daemons-q--qsh-medical-breastmnist-resnet18
source
huggingface
author
Daemons Q
license
Other
tags
onnx, safetensors, quantum-safe, privacy-preserving, medical-fl, onnxruntime-web, image-classification, license:other, region:us

βš™οΈ Technical Specs

params billions
0.01
context length
4,096
pipeline tag
image-classification
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
0

Data indexed from public sources. Updated daily.