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README.md

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 Model Card for Loquace-12B
 
-# Loquace - An Italian instruction finetuned LargeLanguage model.
+# Loquace 🇮🇹 An Italian instruction finetuned LargeLanguage model. 🇮🇹
 
 ## Model Description
 
-Loquace-12B is a fine-tuned conversational model for the Italian language. It has been trained on a dataset of 102,000 question/answer examples in the Alpaca style. The model is based on the Falcon-12B architecture and was fine-tuned using the qload framework.
+Loquace-12B is the first 12B italian Large Language Model trained using QLoRa on a large dataset of 102k question/answer pairs
+exclusively in Italian.
 
 ## Usage
 
-## Training Data
 
-Loquace-12B was trained on a conversational dataset comprising 102,000 question/answer pairs in Italian. 
-The training data was formatted in the Alpaca style, which emphasizes conversational exchanges. 
-The specific sources and characteristics of the training data are not disclosed.
+
+## Training
+
+Loquace-12B was trained on a conversational dataset comprising 102k question/answer pairs in Italian language. 
+The training data was constructed by putting together translations from the original alpaca Dataset and other sources like the OpenAssistant dataset.
+The model was trained for only 3000 iterations and took 18 hours on a single RTX 3090, kindly provided by Genesis Cloud.
 
 ## Limitations