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# 🧠 Hakim-small
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[](https://arxiv.org/abs/2505.08435)
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**Hakim-small** is a compact and efficient version of the state-of-the-art **Hakim** text embedding model, specifically designed for the Persian language. While the main Hakim model sets the SOTA on the **FaMTEB** benchmark, Hakim-small offers a strong balance of performance and efficiency, making it ideal for applications with resource constraints. It leverages the same advanced training methodologies and datasets as its larger counterpart.
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language:
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# 🧠 Hakim-small
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[](https://arxiv.org/abs/2505.08435)
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**Hakim-small** is a compact and efficient version of the state-of-the-art **Hakim** text embedding model, specifically designed for the Persian language. While the main Hakim model sets the SOTA on the **FaMTEB** benchmark, Hakim-small offers a strong balance of performance and efficiency, making it ideal for applications with resource constraints. It leverages the same advanced training methodologies and datasets as its larger counterpart.
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