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  # Phi-4-Hindi
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- Phi-4-Hindi is a 14.7B parameter pre-trained and instruction-tuned bilingual large language model for both Hindi and English,
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- trained on a 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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  # Phi-4-Hindi
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+ Phi-4-Hindi is a 14.7B multilingual large language model, instruction-tuned for enhanced 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)