Update README.md

README.md

@@ -16,7 +16,7 @@ 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-LAPT* is a continual trained mistral model.
+Mistral-v0.1-Italian-FVT is a continually trained Mistral model.
 
 **Model developer:** SapienzaNLP, ISTI-CNR, ILC-CNR
 
@@ -24,7 +24,7 @@ The **Mistral-7B-v0.1-Adapted** collection of large language models (LLMs), is a
 
 ## 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.
 
 
@@ -32,7 +32,7 @@ The data are extracted to be skewed toward Italian language with a ration of one
 
 You can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function.
 
-Make sure to update your transformers installation via pip install --upgrade transformers.
+Make sure to update your transformers installation via `pip install --upgrade transformers`.
 
 ```python
 import transformers
@@ -47,6 +47,8 @@ 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: