🧠
All Mpnet Base V1 model by Sentence Transformers
⭐ 40.8
🧠
Model

All Mpnet Base V1

by Sentence Transformers hf-model--sentence-transformers--all-mpnet-base-v1
Nexus Index
40.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 51
R: Recency 61
Q: Quality 65
Tech Context
Vital Performance
28.2K DL / 30D
0.0%
Source →
Audited 40.8 FNI Score
Tiny - Params
- Context
28.2K Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--sentence-transformers--all-mpnet-base-v1
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__sentence_transformers__all_mpnet_base_v1,
  author = {Sentence Transformers},
  title = {All Mpnet Base V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/sentence-transformers/all-mpnet-base-v1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Sentence Transformers. (2026). All Mpnet Base V1 [Model]. Free2AITools. https://huggingface.co/sentence-transformers/all-mpnet-base-v1

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download sentence-transformers/all-mpnet-base-v1
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
40.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 51
Recency (R) 61
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for All Mpnet Base V1: Semantic (S:50), Authority (A:0), Popularity (P:51), Recency (R:61), 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

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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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Hub Discussions
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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--sentence-transformers--all-mpnet-base-v1
slug
sentence-transformers--all-mpnet-base-v1
source
huggingface
author
Sentence Transformers
license
Apache-2.0
tags
sentence-transformers, pytorch, onnx, safetensors, openvino, mpnet, fill-mask, feature-extraction, sentence-similarity, transformers, text-embeddings-inference, en, arxiv:1904.06472, arxiv:2102.07033, arxiv:2104.08727, arxiv:1704.05179, arxiv:1810.09305, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
28,186
stars
0
forks
0

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