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bge-base-zh-v1.5-onnx
moyangzhan/bge-base-zh-v1.5-onnx
bge-base-zh-v1.5-onnx is a sentence similarity model from moyangzhan. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This is a sentence-transformers model: It maps sentences & paragraphs to a N dimensional dense vector space and can be used for tasks like clustering or semantic search.
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026
- SHA
- 895f71b1
Base models
Model card
From the Hugging Face model README
ONNX version of BAAI/bge-base-zh-v1.5
This is a sentence-transformers model: It maps sentences & paragraphs to a N dimensional dense vector space and can be used for tasks like clustering or semantic search.
The model conversion was made with onnx-convert tool with the following parameters:
python convert.py --model_id BAAI/bge-base-zh-v1.5 --quantize QInt8 --optimize 0 --opset=17 --skip_shape_inference
There are two versions of model available:
model.onnx- Float32 version, with optimize=0model_opt2_QInt8.onnx- QInt8 quantized version, with optimize=0
License
Apache 2.0
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Languages
- zh
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026