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Mxbai Embed Large V1 model by Mixedbread Ai
⭐ 34
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Model

Mxbai Embed Large V1

by Mixedbread Ai ID: hf-model--mixedbread-ai--mxbai-embed-large-v1
Scale 0.34B
Context Window 4.096K
Downloads 2.2M
FNI Rank 34
Percentile Top 0%
Activity
β†’ 0.0%

--- tags: - mteb - transformers.js - transformers model-index: - name: mxbai-angle-large-v1 results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 met...

View Source Code β†’
Audited 34 FNI Score
Tiny 0.34B Params
4k Context
Hot 2.2M Downloads
8G GPU ~2GB Est. VRAM
Dense BERTMODEL Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--mixedbread-ai--mxbai-embed-large-v1
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.6GB VRAM

Interactive
Analyze Hardware
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__mixedbread_ai__mxbai_embed_large_v1,
  author = {Mixedbread Ai},
  title = {Mxbai Embed Large V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Mixedbread Ai. (2026). Mxbai Embed Large V1 [Model]. Free2AITools. https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

⚑ Quick Commands

πŸ¦™ Ollama Run
ollama run mxbai-embed-large-v1
πŸ€— HF Download
huggingface-cli download mixedbread-ai/mxbai-embed-large-v1
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
34.0
Top 0% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

The Nexus Index for Mxbai Embed Large V1 aggregates Popularity (P:0), Velocity (V:0), and Credibility (C:0). The Utility score (U:0) represents deployment readiness, context efficiency, and structural reliability within the Nexus ecosystem.

πŸ”— Source Links (Click to verify)

πŸ“Š P: HuggingFace Stats πŸ“ˆ V: 7-Day Delta πŸ“„ C: Papers With Code πŸ”§ U: Deploy Score
Data Verified πŸ• Last Updated: Not calculated
Free2AI Nexus Index | Fair Β· Transparent Β· Explainable | Full Methodology
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πŸš€ What's Next?

πŸ“Š

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Deployment Guide

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Technical Deep Dive

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.
  • β€’ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
745Likes
2.2MDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Daily sync (03:00 UTC)

AI 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

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

πŸ†” Identity & Source

id
hf-model--mixedbread-ai--mxbai-embed-large-v1
source
huggingface
author
Mixedbread Ai
tags
sentence-transformersonnxsafetensorsopenvinoggufbertfeature-extractionmtebtransformers.jstransformersenarxiv:2309.12871license:apache-2.0model-indextext-embeddings-inferenceendpoints_compatibleregion:us

βš™οΈ Technical Specs

architecture
BertModel
params billions
0.34
context length
4,096
pipeline tag
feature-extraction
vram gb
1.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

likes
745
downloads
2,207,470

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)