🧠
Mxbai Embed Large V1 Mlx Int6 model by lorelaiassistant
⭐ 37.5
🧠
Model

Mxbai Embed Large V1 Mlx Int6

by lorelaiassistant hf-model--lorelaiassistant--mxbai-embed-large-v1-mlx-int6
Nexus Index
37.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance
212 DL / 30D
0.0%
Source →
Audited 37.5 FNI Score
Tiny - Params
- Context
212 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--lorelaiassistant--mxbai-embed-large-v1-mlx-int6
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__lorelaiassistant__mxbai_embed_large_v1_mlx_int6,
  author = {lorelaiassistant},
  title = {Mxbai Embed Large V1 Mlx Int6 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/lorelaiassistant/mxbai-embed-large-v1-mlx-int6}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
lorelaiassistant. (2026). Mxbai Embed Large V1 Mlx Int6 [Model]. Free2AITools. https://huggingface.co/lorelaiassistant/mxbai-embed-large-v1-mlx-int6

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download lorelaiassistant/mxbai-embed-large-v1-mlx-int6
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Mxbai Embed Large V1 Mlx Int6: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:50).

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

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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📝 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
212Downloads
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--lorelaiassistant--mxbai-embed-large-v1-mlx-int6
slug
lorelaiassistant--mxbai-embed-large-v1-mlx-int6
source
huggingface
author
lorelaiassistant
license
Apache-2.0
tags
mlx, safetensors, bert, sentence-transformers, feature-extraction, quantized, en, base_model:mixedbread-ai/mxbai-embed-large-v1, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
212
stars
0
forks
null

Data indexed from public sources. Updated daily.