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@@ -71,7 +71,7 @@ model = AutoModelForCausalLM.from_pretrained(
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  Loquace-20B was trained on a conversational dataset comprising 102k question/answer pairs in Italian language.
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  The training data was constructed by putting together translations from the original alpaca Dataset and other sources like the OpenAssistant dataset.
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- The model was trained for only 3000 iterations and took 18 hours on 4 RTX 3090, kindly provided by Genesis Cloud. (https://gnsiscld.co/26qhlf)
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  ## Limitations
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  Loquace-20B was trained on a conversational dataset comprising 102k question/answer pairs in Italian language.
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  The training data was constructed by putting together translations from the original alpaca Dataset and other sources like the OpenAssistant dataset.
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+ The model was trained for only 3000 iterations and took 68 hours on 4 RTX 3090, kindly provided by Genesis Cloud. (https://gnsiscld.co/26qhlf)
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  ## Limitations
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