🧠
Model

Multilingual E5 Small Optimized

by elastic elastic/multilingual-e5-small-optimized
Free2AITools Nexus Index
28.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 17
R: Recency 23
Q: Quality 50
Tech Context
512 Ctx
Vital Performance
330 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 28.8 FNI Score
Tiny - Params
1k Context
330 Downloads
Dense BERTMODEL Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID elastic/multilingual-e5-small-optimized
License MIT
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{elastic_multilingual_e5_small_optimized,
  author = {elastic},
  title = {Multilingual E5 Small Optimized Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/elastic/multilingual-e5-small-optimized}},
  note = {Accessed via Free2AITools.}
}
APA Style
elastic. (2023). Multilingual E5 Small Optimized [Model]. Free2AITools. https://huggingface.co/elastic/multilingual-e5-small-optimized

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download elastic/multilingual-e5-small-optimized
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 17
Recency (R) 23
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Multilingual E5 Small Optimized: Authority (A:47), Popularity (P:17), Recency (R:23), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
330Downloads
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--elastic--multilingual-e5-small-optimized
slug
elastic--multilingual-e5-small-optimized
source
huggingface
author
elastic
license
MIT
tags
sentence-transformers, pytorch, bert, sentence-similarity, multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh, arxiv:2212.03533, license:mit, text-embeddings-inferenc

βš™οΈ Technical Specs

architecture
BertModel
context length
512
pipeline tag
sentence-similarity

πŸ“Š Engagement & Metrics

downloads
330
stars
0
forks
0

Data indexed from public sources. Updated daily.