Update README.md

README.md

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 XXXX is an updated version of Mistral-7B-v0.2, 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, 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
 
@@ -56,6 +56,23 @@ decoded = tokenizer.batch_decode(generated_ids)
 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
+
+
+## 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