Update README.md

README.md

@@ -20,8 +20,9 @@ Model Card for Loquace-7B
 
 An exclusively Italian speaking, instruction finetuned, Large Language model. 🇮🇹
 
-The Loquace Italian LLM models family was created as a proof-of-concept to evaluate on how different model sizes can be fine-tuned using QLoRa on an instruct dataset
-of a specific language.
+The Loquace Italian LLM models are created as a proof-of-concept to evaluate on how language tuning can be achieved using QLoRa by instruct-tunings foundational LLMs 
+using dataset of a specific language.
+
 
 The QLoRa (https://github.com/artidoro/qlora) method of fine-tuning significantly lower the resources requirements compared to any other methods available,
 this allow to easily execute the process on significanly larger dataset while still using consumers GPUs and still achieve high accuracy.
@@ -29,7 +30,7 @@ this allow to easily execute the process on significanly larger dataset while st
 ## Model Description
 
 Loquace-7B is the first 7B italian Large Language Model trained using QLoRa on a large dataset of 102k question/answer pairs
-exclusively in Italian and that uses Falcon-7B model as base.
+exclusively in Italian and that uses Falcon-7B model as base, the most accurate model of it's class.
 
 The related code can be found at:
 https://github.com/cosimoiaia/Loquace