Update README.md

README.md

@@ -16,9 +16,9 @@ library_name: transformers
 
 The **Mistral-7B-v0.1-Adapted** collection of large language models (LLMs), is a collection of adapted generative models in 7B (text in/text out), adapted models from **Mistral-7B-Base-v0.1**.
 
-*Mistral-v0.1-Italian-CLP* is a continual trained mistral model, after tokenizer substitution.
+*Mistral-v0.1-Italian-CLP* is a continually trained mistral model, after tokenizer substitution.
 
-The tokenizer of this models after adaptation is the same of [Minverva-3B](https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0).
+The tokenizer of this model after adaptation is the same as [Minverva-3B](https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0).
 
 **Model developer:** SapienzaNLP, ISTI-CNR, ILC-CNR
 
@@ -26,7 +26,7 @@ The tokenizer of this models after adaptation is the same of [Minverva-3B](https
 
 ## Data used for the adaptation
 
-The **Mistral-7B-v0.1-Adapted** model are trained on a collection of Italian and English data extracted from [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX).
+The **Mistral-7B-v0.1-Adapted** models are trained on a collection of Italian and English data extracted from [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX).
 The data are extracted to be skewed toward Italian language with a ration of one over four. Extracting the first 9B tokens from Italian part of CulturaX and the first 3B tokens from English part of CulturaX.
 
 
@@ -49,6 +49,8 @@ pipeline = transformers.pipeline(
 pipeline("Cosa si può fare in una bella giornata di sole?")
 ```
 
+Code: https://github.com/SapienzaNLP/sava
+
 ## Citation
 
 If you use any part of this work, please consider citing the paper as follows:
@@ -63,6 +65,4 @@ If you use any part of this work, please consider citing the paper as follows:
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2504.17025}, 
 }
-```
-
-Code: https://github.com/Andrew-Wyn/Italian-LLM-Adaptation
+```