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# Phi-4-Hindi
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Phi-4-Hindi is a 14.7B multilingual large language model, instruction-tuned for
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- ~1% better performance on English Tasks compared to the original (average benchmark scores)
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- ~4% better performance on Hindi Tasks compared to the original (average benchmark scores)
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- ~10% less emissions than the original (as reported on benchmark evaluations like open-llm-leaderboard)
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# Phi-4-Hindi
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Phi-4-Hindi is a 14.7B multilingual large language model, instruction-tuned for state-of-the-art performance in both Hindi and English. Built on a pre-trained foundation, it is optimized for bilingual tasks using a diverse mixed-language dataset.
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- ~1% better performance on English Tasks compared to the original (average benchmark scores)
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- ~4% better performance on Hindi Tasks compared to the original (average benchmark scores)
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- ~10% less emissions than the original (as reported on benchmark evaluations like open-llm-leaderboard)
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