Update README.md

README.md

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 # Model Information
 
-XXXX is an updated version of Mistral-7B-v0.2, specifically fine-tuned with SFT and LoRA adjustments.
+XXXX is an updated version of [Mistral-7B-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf), specifically fine-tuned with SFT and LoRA adjustments.
 
-- It's trained both on publicly available datasets, like SQUAD-it, and datasets we've created in-house.
+- It's trained both on publicly available datasets, like [SQUAD-it](https://huggingface.co/datasets/squad_it), and datasets we've created in-house.
 - it's designed to understand and maintain context, making it ideal for Retrieval Augmented Generation (RAG) tasks and applications requiring contextual awareness.
+
 # Evaluation
 
 We evaluated the model using the same test sets as used for the Open Ita LLM Leaderboard 
@@ -53,22 +54,24 @@ print(decoded[0])
 ```
 
 ## Bias, Risks and Limitations
+
 xxxx has not been aligned to human preferences for safety within the RLHF phase or deployed with in-the-loop filtering of 
 responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). It is also unknown what the size and composition 
 of the corpus was used to train the base model (mistralai/Mistral-7B-v0.2), however it is likely to have included a mix of Web data and technical sources 
 like books and code.
 
-
 ## Links to resources
-SQUAD-it dataset: https://huggingface.co/datasets/squad_it
-Mistral_7B_v0.2: original weights: https://models.mistralcdn.com/mistral-7b-v0-2/mistral-7B-v0.2.tar
-                 model: https://huggingface.co/alpindale/Mistral-7B-v0.2-hf
-Open Ita LLM Leaderbord: https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard
 
+- SQUAD-it dataset: https://huggingface.co/datasets/squad_it
+- Mistral_7B_v0.2 original weights: https://models.mistralcdn.com/mistral-7b-v0-2/mistral-7B-v0.2.tar
+- Mistral_7B_v0.2 model: https://huggingface.co/alpindale/Mistral-7B-v0.2-hf
+- Open Ita LLM Leaderbord: https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard
 
 ## Quantized versions
+
 We have published as well the 4 bit and 8 bit versions of this model:
 https://huggingface.co/MoxoffSpA/xxxxQuantized/main
 
 ## The Moxoff Team
+
 Marco D'Ambra, Jacopo Abate, Gianpaolo Francesco Trotta