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  ---
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  license: apache-2.0
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  pipeline_tag: sentence-similarity
 
 
 
 
 
 
 
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  ---
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  # Lychee Embed
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- `Lychee-embed` is the latest generalist text embedding model developed based on the `Qwen2.5` basic model. It is suitable for text retrieval (semantic correlation), text similarity and other downstream tasks, and supports multiple languages of `Qwen2.5`. `Lychee-embed` is jointly developed by the NLP Team of Harbin Institute of Technology, Shenzhen and is built based on an innovative multi-stage training framework (warm-up, task-learning, model merging, annealing).
 
 
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  ![The multi-stage training framework](framework-crop.png)
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  ---
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  license: apache-2.0
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  pipeline_tag: sentence-similarity
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+ base_model:
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+ - Qwen/Qwen2.5-1.5B
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+ tags:
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+ - transformers
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+ - sentence-transformers
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+ - sentence-similarity
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+ - feature-extraction
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  ---
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  # Lychee Embed
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+ `Lychee-embed` is the latest generalist text embedding model developed based on the `Qwen2.5` basic model. It is suitable for text retrieval (semantic correlation), text similarity and other downstream tasks, and supports multiple languages of `Qwen2.5`.
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+ `Lychee-embed` is jointly developed by the NLP Team of Harbin Institute of Technology, Shenzhen and is built based on an innovative multi-stage training framework (warm-up, task-learning, model merging, annealing).
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+ The first batch of open source is 1.5B parameter version.
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  ![The multi-stage training framework](framework-crop.png)
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