🧠
Embeddinggemma 300m Qat Q8 0 Onnx model by electroglyph
⭐ 27.5
🧠
Model

Embeddinggemma 300m Qat Q8 0 Onnx

by electroglyph electroglyph/embeddinggemma-300m-qat-q8_0-onnx
Free2AITools Nexus Index
27.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 58
Q: Quality 50
Tech Context
8.192K Ctx
Vital Performance
1 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 27.5 FNI Score
Tiny - Params
8k Context
1 Downloads
Dense GEMMA3TEXTMODEL Architecture
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID electroglyph/embeddinggemma-300m-qat-q8_0-onnx
License Gemma
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{electroglyph_embeddinggemma_300m_qat_q8_0_onnx,
  author = {electroglyph},
  title = {Embeddinggemma 300m Qat Q8 0 Onnx Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/electroglyph/embeddinggemma-300m-qat-q8_0-ONNX}},
  note = {Accessed via Free2AITools.}
}
APA Style
electroglyph. (2025). Embeddinggemma 300m Qat Q8 0 Onnx [Model]. Free2AITools. https://huggingface.co/electroglyph/embeddinggemma-300m-qat-q8_0-ONNX

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download electroglyph/embeddinggemma-300m-qat-q8_0-onnx
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 0
Recency (R) 58
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Embeddinggemma 300m Qat Q8 0 Onnx: Authority (A:29), Popularity (P:0), Recency (R:58), Quality (Q:50). 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.

Social Proof

HuggingFace Hub
1Downloads
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--electroglyph--embeddinggemma-300m-qat-q8_0-onnx
slug
electroglyph--embeddinggemma-300m-qat-q8_0-onnx
source
huggingface
author
electroglyph
license
Gemma
tags
sentence-transformers, onnx, safetensors, gemma3_text, sentence-similarity, feature-extraction, arxiv:2509.20354, license:gemma, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma3TextModel
context length
8,192
pipeline tag
sentence-similarity

πŸ“Š Engagement & Metrics

downloads
1
stars
0
forks
0

Data indexed from public sources. Updated daily.