PyTorch
mistral
Krutrim
language-model
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@@ -123,7 +123,9 @@ The existing Indic benchmarks are not natively in Indian languages, rather, they
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  ### Qualitative Results
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  Below are the results from manual evaluation of prompt-response pairs across languages and task categories. Scores are between 1-5 (higher the better). Model names were anonymised during the evaluation.
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- <Gallery />
 
 
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  ## Usage
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  To use the model, you can load it with `AutoModelForCausalLM` as follows:
 
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  ### Qualitative Results
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  Below are the results from manual evaluation of prompt-response pairs across languages and task categories. Scores are between 1-5 (higher the better). Model names were anonymised during the evaluation.
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+ <img src="images/cumulative_score_category.png" alt="cumulative_score_category" width="600" height="400" />
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+ <img src="images/cumulative_score_langauge.png" alt="cumulative_score_langauge" width="600" height="400" />
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+
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  ## Usage
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  To use the model, you can load it with `AutoModelForCausalLM` as follows: