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@@ -100,7 +100,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True).split("Response:")[
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  ### Training Data
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  <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- The model was fine-tinuned on 120k random records of [raicrits/Orca_ITA_200k](https://huggingface.co/datasets/raicrits/Orca_ITA_200k).
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  ### Training Procedure
 
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  ### Training Data
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  <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ The model was fine-tuned on 120k random records of [raicrits/Orca_ITA_200k](https://huggingface.co/datasets/raicrits/Orca_ITA_200k).
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  ### Training Procedure