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  This model is a general Japanese text embedding model, excelling in retrieval tasks. It can run on CPU and is designed to measure semantic similarity between sentences, as well as to function as a retrieval system for searching passages based on queries.
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  During inference, the prefix "query: " or "passage: " is required. Please check the Usage section for details.
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  ## Model Description
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  | Model | Size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | JaCWIR<br>MAP@10 | MLDR<br>nDCG@10 |
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  | :---: | :---: | :---: | :---: | :---: | :---: |
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- | OpenAI/text-embedding-3-small | - | processing... | 38.8 | 81.6 | processing... |
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- | OpenAI/text-embedding-3-large | - | processing... | processing... | processing... | processing... |
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  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.6B | 89.2 | 55.4 | **87.6** | 29.8 |
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  | [cl-nagoya/ruri-large](https://huggingface.co/cl-nagoya/ruri-large) | 0.3B | 78.7 | 62.4 | 85.0 | **37.5** |
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  This model is a general Japanese text embedding model, excelling in retrieval tasks. It can run on CPU and is designed to measure semantic similarity between sentences, as well as to function as a retrieval system for searching passages based on queries.
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+ Key features:
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+ - Specialized for retrieval tasks, it demonstrates the highest performance among similar size models in MIRACL and other tasks .
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+ - Optimized for Japanese text processing
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+ - Can run on CPU
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  During inference, the prefix "query: " or "passage: " is required. Please check the Usage section for details.
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  ## Model Description
 
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  | Model | Size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | JaCWIR<br>MAP@10 | MLDR<br>nDCG@10 |
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  | :---: | :---: | :---: | :---: | :---: | :---: |
 
 
 
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  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.6B | 89.2 | 55.4 | **87.6** | 29.8 |
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  | [cl-nagoya/ruri-large](https://huggingface.co/cl-nagoya/ruri-large) | 0.3B | 78.7 | 62.4 | 85.0 | **37.5** |
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