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  <h3>Model description</h3>
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- This model is a <b>causal</b> language model for the <b>Italian</b> language, based on a GPT-like <b>[1]</b> architecture (more specifically, the model has been obtained by modifying Meta's XGLM architecture <b>[2]</b> and exploiting its 7.5B checkpoint).
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  The model has ~6.6B parameters and a vocabulary of 50.335 tokens. It's an instruction-based model, trained with low-rank adaptation, and it's mainly suitable for general purpose prompt-based tasks involving natural language inputs and outputs.
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  <h3>Model description</h3>
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+ This model is a <b>causal</b> language model for the <b>Italian</b> language, based on a GPT-like <b>[1]</b> architecture (more specifically, the model has been obtained by modifying Meta's XGLM architecture <b>[2]</b> and exploiting its 7.5B pre-trained checkpoint as a starting point).
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  The model has ~6.6B parameters and a vocabulary of 50.335 tokens. It's an instruction-based model, trained with low-rank adaptation, and it's mainly suitable for general purpose prompt-based tasks involving natural language inputs and outputs.
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