🧠
Medgemma 1.5 4b It model by confamnode
⭐ 39
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Model

Medgemma 1.5 4b It

by confamnode hf-model--confamnode--medgemma-1.5-4b-it
Nexus Index
39.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 39 FNI Score
4B Params
4k Context
0 Downloads
8G GPU ~5GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID hf-model--confamnode--medgemma-1.5-4b-it
License Other
Provider huggingface
💾

Compute Threshold

~4.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__confamnode__medgemma_1.5_4b_it,
  author = {confamnode},
  title = {Medgemma 1.5 4b It Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/confamnode/medgemma-1.5-4b-it}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
confamnode. (2026). Medgemma 1.5 4b It [Model]. Free2AITools. https://huggingface.co/confamnode/medgemma-1.5-4b-it

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run medgemma-1.5-4b-it
🤗 HF Download
huggingface-cli download confamnode/medgemma-1.5-4b-it
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Medgemma 1.5 4b It: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), 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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⚠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.

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📝 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.
🤗 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--confamnode--medgemma-1.5-4b-it
slug
confamnode--medgemma-1.5-4b-it
source
huggingface
author
confamnode
license
Other
tags
transformers, safetensors, gemma3, image-text-to-text, medical, radiology, clinical-reasoning, dermatology, pathology, ophthalmology, chest-x-ray, conversational, arxiv:2303.15343, arxiv:2604.05081, arxiv:2406.19578, arxiv:2405.03162, arxiv:2106.14463, arxiv:2009.13081, arxiv:2203.14371, arxiv:1909.06146, arxiv:2102.09542, arxiv:2411.15640, arxiv:2404.05590, arxiv:2501.18362, arxiv:1605.01397, arxiv:1901.07031, arxiv:2403.17834, arxiv:2402.16040, license:other, text-generation-inference, endpoin

⚙ī¸ Technical Specs

architecture
null
params billions
4
context length
4,096
pipeline tag
image-text-to-text
vram gb
4.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.