🧠
Qwen3 Embedding 4b Mlx 4bit model by majentik
⭐ 40.9
🧠
Model

Qwen3 Embedding 4b Mlx 4bit

by majentik hf-model--majentik--qwen3-embedding-4b-mlx-4bit
Nexus Index
40.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 16
R: Recency 98
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
329 DL / 30D
0.0%
Source →
Audited 40.9 FNI Score
4B Params
4k Context
329 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--majentik--qwen3-embedding-4b-mlx-4bit
License Apache-2.0
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__majentik__qwen3_embedding_4b_mlx_4bit,
  author = {majentik},
  title = {Qwen3 Embedding 4b Mlx 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/majentik/qwen3-embedding-4b-mlx-4bit}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
majentik. (2026). Qwen3 Embedding 4b Mlx 4bit [Model]. Free2AITools. https://huggingface.co/majentik/qwen3-embedding-4b-mlx-4bit

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3-embedding-4b-mlx-4bit
🤗 HF Download
huggingface-cli download majentik/qwen3-embedding-4b-mlx-4bit

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
40.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 16
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 Embedding 4b Mlx 4bit: Semantic (S:50), Authority (A:0), Popularity (P:16), Recency (R:98), 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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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠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.

View Original Source →

📝 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

HuggingFace Hub
329Downloads
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--majentik--qwen3-embedding-4b-mlx-4bit
slug
majentik--qwen3-embedding-4b-mlx-4bit
source
huggingface
author
majentik
license
Apache-2.0
tags
mlx-embeddings, safetensors, qwen3, mlx, embeddings, sentence-similarity, feature-extraction, quantized, 4bit, qwen, qwen3-embedding, en, zh, multilingual, base_model:qwen/qwen3-embedding-4b, base_model:finetune:qwen/qwen3-embedding-4b, license:apache-2.0, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
329
stars
0
forks
0

Data indexed from public sources. Updated daily.