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  ## Qodo-Embed-1
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  **Qodo-Embed-1 is a state-of-the-art** code embedding model designed for retrieval tasks in the software development domain.
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  It is offered in two sizes: lite (1.5B) and medium (7B). The model is optimized for natural language-to-code and code-to-code retrieval, making it highly effective for applications such as code search, retrieval-augmented generation (RAG), and contextual understanding of programming languages.
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- This model outperforms all previous open-source models in the COIR and MTab leaderboards, achieving best-in-class performance with a significantly smaller size compared to competing models.
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  ### Languages Supported:
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  * Python
 
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  ## Qodo-Embed-1
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  **Qodo-Embed-1 is a state-of-the-art** code embedding model designed for retrieval tasks in the software development domain.
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  It is offered in two sizes: lite (1.5B) and medium (7B). The model is optimized for natural language-to-code and code-to-code retrieval, making it highly effective for applications such as code search, retrieval-augmented generation (RAG), and contextual understanding of programming languages.
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+ This model outperforms all previous open-source models in the COIR and MTEB leaderboards, achieving best-in-class performance with a significantly smaller size compared to competing models.
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  ### Languages Supported:
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  * Python