Update README.md

README.md

@@ -26,7 +26,7 @@ pipeline_tag: text-generation
 
 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).
 
-The model has ~6.6B parameters and a vocabulary of 50.335 tokens. It is a foundation model, pre-trained for causal language modeling, so it is mainly suitable for basic natural language generation. It also has some zero-shot and few-shots inference capabilities, but you will have to fine-tune it in order to use it on more specific downstream tasks.
+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.
 
 <h3>Quantization</h3>