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vllm-sr
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multi-modal-embed-small

Sentence Similarity
Transformers
ONNX
Safetensors
sentence-transformers
English
multimodal
embeddings
image-text
audio-text
retrieval
2DMSE
matryoshka
Eval Results (legacy)
Model card Files
xet
 Community
HuaminChen commited on
Commit
4817d62
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verified ·
1 Parent(s): 818f7d0

Fix total parameter count: ~120M not ~250M

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  1. README.md +1 -1
README.md CHANGED
@@ -54,7 +54,7 @@ A compact multimodal embedding model that unifies text, image, and audio represe
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  ## Model Description
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- **multi-modal-embed-small** is a lightweight multimodal encoder (~250M parameters) supporting:
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  - **Text encoding** via MiniLM-L6-v2 (22M params)
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  - **Image encoding** via SigLIP-base-patch16-512 (86M params)
 
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  ## Model Description
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+ **multi-modal-embed-small** is a lightweight multimodal encoder (~120M parameters) supporting:
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  - **Text encoding** via MiniLM-L6-v2 (22M params)
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  - **Image encoding** via SigLIP-base-patch16-512 (86M params)