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

Qwen3 Embedding 4b Mlx 4bit

by majentik majentik/qwen3-embedding-4b-mlx-4bit
Free2AITools Nexus Index
40.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 18
R: Recency 88
Q: Quality 65
Tech Context
0.63B Params
32.768K Ctx
Vital Performance
378 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 40.9 FNI Score
Tiny 0.63B Params
32k Context
378 Downloads
8G GPU ~3GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID majentik/qwen3-embedding-4b-mlx-4bit
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
APA Style
majentik. (2026). Qwen3 Embedding 4b Mlx 4bit [Model]. Free2AITools. https://huggingface.co/majentik/Qwen3-Embedding-4B-MLX-4bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-embedding-4b-mlx-4bit
πŸ€— HF Download
huggingface-cli download majentik/qwen3-embedding-4b-mlx-4bit

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) 18
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 Embedding 4b Mlx 4bit: Authority (A:0), Popularity (P:18), Recency (R:88), Quality (Q:65). 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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

Social Proof

HuggingFace Hub
378Downloads
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--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

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
0.63
context length
32,768
pipeline tag
feature-extraction
vram gb
3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
378
stars
null
forks
null

Data indexed from public sources. Updated daily.