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docs: standardize code-embed-v2 cross-reference to 150M category

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  1. README.md +3 -3
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  > 🚀 **CodeEmbed v2 is now live!** Check out [](https://huggingface.co/divakantpandey/code-embed-v2) for 6-language multilingual code search and official MTEB leaderboard rankings:
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  > - **Rank #3 Worldwide** on Code-to-Code Reranking ()
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- > - **Rank #3 Worldwide** on (≤160M compact tier)
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- > - **Rank #8 Worldwide** on (≤141M compact tier)
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- > - **Rank #9 Worldwide** on (≤141M compact tier)
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  CodeEmbed is a lightweight, high-performance code embedding model (≤130M parameters) developed by **[Divakant Pandey](https://github.com/divakantpandey)**. Specialized for semantic code search, code retrieval, and repository navigation with **8,192 token context** and **Matryoshka representation learning**.
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  > 🚀 **CodeEmbed v2 is now live!** Check out [](https://huggingface.co/divakantpandey/code-embed-v2) for 6-language multilingual code search and official MTEB leaderboard rankings:
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  > - **Rank #3 Worldwide** on Code-to-Code Reranking ()
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+ > - **Rank #3 Worldwide** on (≤150M category)
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+ > - **Rank #8 Worldwide** on (≤150M category)
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+ > - **Rank #9 Worldwide** on (≤150M category)
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  CodeEmbed is a lightweight, high-performance code embedding model (≤130M parameters) developed by **[Divakant Pandey](https://github.com/divakantpandey)**. Specialized for semantic code search, code retrieval, and repository navigation with **8,192 token context** and **Matryoshka representation learning**.
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