🧠
Nomic Embed Text V1 model by Test Ksaw
⭐ 38.8
🧠
Model

Nomic Embed Text V1

by Test Ksaw hf-model--test-ksaw--nomic-embed-text-v1
Free2AITools Nexus Index
38.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 2
R: Recency 100
Q: Quality 65
Tech Context
0.14B Params
4.096K Ctx
Vital Performance
22 DL / 30D
0.0%
Source →
Audited 38.8 FNI Score
Tiny 0.14B Params
4k Context
22 Downloads
8G GPU ~2GB Est. VRAM
Dense NOMICBERTMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--test-ksaw--nomic-embed-text-v1
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~1.4GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__test_ksaw__nomic_embed_text_v1,
  author = {Test Ksaw},
  title = {Nomic Embed Text V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/test-ksaw/nomic-embed-text-v1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Test Ksaw. (2026). Nomic Embed Text V1 [Model]. Free2AITools. https://huggingface.co/test-ksaw/nomic-embed-text-v1

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run nomic-embed-text-v1
🤗 HF Download
huggingface-cli download test-ksaw/nomic-embed-text-v1
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 2
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Nomic Embed Text V1: Semantic (S:50), Authority (A:0), Popularity (P:2), Recency (R:100), 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.

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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
22Downloads
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--test-ksaw--nomic-embed-text-v1
slug
test-ksaw--nomic-embed-text-v1
source
huggingface
author
Test Ksaw
license
Apache-2.0
tags
sentence-transformers, pytorch, onnx, safetensors, nomic_bert, feature-extraction, sentence-similarity, mteb, transformers, transformers.js, custom_code, en, arxiv:2402.01613, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
NomicBertModel
params billions
0.14
context length
4,096
pipeline tag
sentence-similarity
vram gb
1.4
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
22
stars
0
forks
null

Data indexed from public sources. Updated daily.