🧠

Model

Chembed Full 7

Name: Chembed Full 7
Author: hsila

by hsila hf-model--hsila--chembed-full-7

Free2AITools Nexus Index

39.9 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 9

R: Recency 96

Q: Quality 65

Tech Context

0.14B Params

4.096K Ctx

Vital Performance

106 DL / 30D

0.0%

Source →

Audited 39.9 FNI Score

Tiny 0.14B Params

4k Context

106 Downloads

8G GPU ~2GB Est. VRAM

Dense NOMICBERTMODEL Architecture

Model Information Summary
Entity Passport
Registry ID	hf-model--hsila--chembed-full-7
Provider	huggingface

💾

Compute Threshold

~1.4GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

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Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__hsila__chembed_full_7,
  author = {hsila},
  title = {Chembed Full 7 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/hsila/chembed-full-7}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

hsila. (2026). Chembed Full 7 [Model]. Free2AITools. https://huggingface.co/hsila/chembed-full-7

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run chembed-full-7

🤗 HF Download

huggingface-cli download hsila/chembed-full-7

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 0

Popularity (P) 9

Recency (R) 96

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Chembed Full 7: Semantic (S:50), Authority (A:0), Popularity (P:9), Recency (R:96), 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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⚠️ 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

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• 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

106Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--hsila--chembed-full-7
slug: hsila--chembed-full-7
source: huggingface
author: hsila
license
tags: transformers, safetensors, nomic_bert, feature-extraction, custom_code, arxiv:1910.09700, text-embeddings-inference, endpoints_compatible, region:us

⚙️ Technical Specs

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

📊 Engagement & Metrics

downloads: 106
stars: 0
forks: 0

Data indexed from public sources. Updated daily.