🧠
Jina Embeddings V5 Text Small Clustering Gguf model by mradermacher
⭐ 39.5
🧠
Model

Jina Embeddings V5 Text Small Clustering Gguf

by mradermacher mradermacher/jina-embeddings-v5-text-small-clustering-gguf
Free2AITools Nexus Index
39.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 22
R: Recency 84
Q: Quality 50
Tech Context
Vital Performance
608 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.5 FNI Score
Tiny - Params
- Context
608 Downloads
Restricted CC License
Model Information Summary
Entity Passport
Registry ID mradermacher/jina-embeddings-v5-text-small-clustering-gguf
License CC-BY-NC-4.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_jina_embeddings_v5_text_small_clustering_gguf,
  author = {mradermacher},
  title = {Jina Embeddings V5 Text Small Clustering Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/jina-embeddings-v5-text-small-clustering-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Jina Embeddings V5 Text Small Clustering Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/jina-embeddings-v5-text-small-clustering-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download mradermacher/jina-embeddings-v5-text-small-clustering-gguf
πŸ“¦ Install Lib
pip install -U transformers

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) 22
Recency (R) 84
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Jina Embeddings V5 Text Small Clustering Gguf: Authority (A:0), Popularity (P:22), Recency (R:84), Quality (Q:50). 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.

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
608Downloads
Hub Discussions
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--mradermacher--jina-embeddings-v5-text-small-clustering-gguf
slug
mradermacher--jina-embeddings-v5-text-small-clustering-gguf
source
huggingface
author
mradermacher
license
CC-BY-NC-4.0
tags
transformers, gguf, embedding, qwen3, llama-cpp, jina-embeddings-v5, feature-extraction, mteb, vllm, sentence-transformers, multilingual, license:cc-by-nc-4.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
feature-extraction

πŸ“Š Engagement & Metrics

downloads
608
stars
0
forks
0

Data indexed from public sources. Updated daily.