PyTorch
mistral
Krutrim
language-model
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@@ -37,7 +37,7 @@ The model delivers best-in-class performance across Indic tasks and a promising
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  - Supports context up to 128K tokens making it suitable for long multi-turn conversations, long-form generations, document translations and others;
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  - Delivers competitive performance on most English benchmarks and HumanEval coding task;
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  - Natively multilingual delivering best-in-class performance on Indic benchmarks;
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- - Matches or exceeds performance of models much larger (x6) on multilingual Indic generation tasks including creative writing, summarization, and translation;
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  - Stronger Indian cultural context relevance - scored the highest in manual evaluation with multiple models in an anonymised setting;
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  - Delivers top-3 performance on 5 (out of 7) tasks in BharatBench among much larger open source and commercial models.
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  - Available in instruction-tuned version
 
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  - Supports context up to 128K tokens making it suitable for long multi-turn conversations, long-form generations, document translations and others;
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  - Delivers competitive performance on most English benchmarks and HumanEval coding task;
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  - Natively multilingual delivering best-in-class performance on Indic benchmarks;
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+ - Matches or exceeds performance of models much larger (5-10x) on multilingual Indic generation tasks including creative writing, summarization, and translation;
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  - Stronger Indian cultural context relevance - scored the highest in manual evaluation with multiple models in an anonymised setting;
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  - Delivers top-3 performance on 5 (out of 7) tasks in BharatBench among much larger open source and commercial models.
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  - Available in instruction-tuned version