onnx-community/embeddinggemma-300m-ONNX
sentence-similarity model by onnx-community
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Model card & documentation
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Model Page: EmbeddingGemma Resources and Technical Documentation: Terms of Use: Terms Authors: Google DeepMind EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages. The small size and on-device focus makes it possible to deploy in environments with limited resources such as mobile phones, laptops, or desktops, democratizing access to state of the art AI models and helping foster innovation for everyone. These model weights are designed to be used with Transformers.js. NOTE: EmbeddingGemma activations do not support fp16 or its derivatives. Please use fp32, q8, or q4 as appropriate for your hardware. This model was trained…
Read the full model card ↗ · Preview checked 2026-10-31T15:02:29.704Z
Inside the original model card — Document outline
- EmbeddingGemma model card
- Model Information
- Description
- Inputs and outputs
- Usage
- Transformers.js in JavaScript
- Using the ONNX Runtime in Python
- Using the ONNX Runtime in Text Embeddings Inference (TEI)
- Model Data
- Training Dataset
- Data Preprocessing
- Model Development
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Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
onnx-community/embeddinggemma-300m-ONNX is a sentence-similarity model repository published by onnx-community on Hugging Face. The source reports the transformers.js library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- transformers.js
- Recent downloads (30 days)
- 543,371
- Cumulative likes
- 75
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Gemma3TextModel
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2025-08-22T16:41:16.000Z
- Last modified
- 2025-09-04T15:43:56.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/embeddinggemma-300m
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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