🧠
Sbert Xtremedistil L6 H256 Uncased Mean Cosine H32 model by ABrinkmann
⭐ 23.3
🧠
Model

Sbert Xtremedistil L6 H256 Uncased Mean Cosine H32

by ABrinkmann hf-model--abrinkmann--sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32
Nexus Index
23.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 5
Q: Quality 50
Tech Context
Vital Performance
3 DL / 30D
0.0%
Source →
Audited 23.3 FNI Score
Tiny - Params
- Context
3 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--abrinkmann--sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32
Provider huggingface
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Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__abrinkmann__sbert_xtremedistil_l6_h256_uncased_mean_cosine_h32,
  author = {ABrinkmann},
  title = {Sbert Xtremedistil L6 H256 Uncased Mean Cosine H32 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/abrinkmann/sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ABrinkmann. (2026). Sbert Xtremedistil L6 H256 Uncased Mean Cosine H32 [Model]. Free2AITools. https://huggingface.co/abrinkmann/sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download abrinkmann/sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
23.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 5
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Sbert Xtremedistil L6 H256 Uncased Mean Cosine H32: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:5), Quality (Q:50).

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

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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.

Social Proof

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3Downloads
Hub Discussions
🤗 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--abrinkmann--sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32
slug
abrinkmann--sbert_xtremedistil-l6-h256-uncased-mean-cosine-h32
source
huggingface
author
ABrinkmann
license
tags
sentence-transformers, pytorch, bert, feature-extraction, sentence-similarity, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
sentence-similarity

📊 Engagement & Metrics

downloads
3
stars
0
forks
0

Data indexed from public sources. Updated daily.