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Embeddinggemma 300m Onnx Uint8 model by electroglyph
⭐ 33.3
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Model

Embeddinggemma 300m Onnx Uint8

by electroglyph electroglyph/embeddinggemma-300m-onnx-uint8
Free2AITools Nexus Index
33.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 8
R: Recency 49
Q: Quality 50
Tech Context
8.192K Ctx
Vital Performance
102 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 33.3 FNI Score
Tiny - Params
8k Context
102 Downloads
Dense GEMMA3TEXTMODEL Architecture
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID electroglyph/embeddinggemma-300m-onnx-uint8
License Gemma
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{electroglyph_embeddinggemma_300m_onnx_uint8,
  author = {electroglyph},
  title = {Embeddinggemma 300m Onnx Uint8 Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/electroglyph/embeddinggemma-300m-ONNX-uint8}},
  note = {Accessed via Free2AITools.}
}
APA Style
electroglyph. (2025). Embeddinggemma 300m Onnx Uint8 [Model]. Free2AITools. https://huggingface.co/electroglyph/embeddinggemma-300m-ONNX-uint8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download electroglyph/embeddinggemma-300m-onnx-uint8
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) 33
Popularity (P) 8
Recency (R) 49
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Embeddinggemma 300m Onnx Uint8: Authority (A:33), Popularity (P:8), Recency (R:49), 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
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Deployment reference

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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
102Downloads
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-onnx-uint8
slug
electroglyph--embeddinggemma-300m-onnx-uint8
source
huggingface
author
electroglyph
license
Gemma
tags
transformers.js, onnx, gemma3_text, feature-extraction, text-embeddings-inference, sentence-similarity, base_model:google/embeddinggemma-300m, base_model:quantized:google/embeddinggemma-300m, license:gemma, region:us

βš™οΈ Technical Specs

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

πŸ“Š Engagement & Metrics

downloads
102
stars
0
forks
0

Data indexed from public sources. Updated daily.