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embeddinggemma-300m-qat-q8_0-unquantized-ONNX
jrc2139/embeddinggemma-300m-qat-q8_0-unquantized-ONNX
embeddinggemma-300m-qat-q8_0-unquantized-ONNX is a feature extraction model from jrc2139. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers.
This repository contains ONNX export and multiple quantized versions of google/embeddinggemma-300m-qat-q80-unquantized.
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At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- Model type
- gemma3_text
- Access
- Public
- Created
- Feb 6, 2026
- Updated
- May 7, 2026
- SHA
- 340475c1
Base models
Model card
From the Hugging Face model README
ONNX Quantized versions of google/embeddinggemma-300m-qat-q8_0-unquantized
This repository contains ONNX export and multiple quantized versions of google/embeddinggemma-300m-qat-q8_0-unquantized.
Usage
from sentence_transformers import SentenceTransformer
# Load Int8 model (ARM64 example)
model = SentenceTransformer(
"jrc2139/embeddinggemma-300m-qat-q8_0-unquantized-ONNX",
backend="onnx",
model_kwargs={"file_name": "onnx/model_q4.onnx"},
trust_remote_code=True
)
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- gemma3_text
- Created
- Feb 6, 2026
- Updated
- May 7, 2026