Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- it
+datasets:
+- DeepMount00/gquad_it
+base_model: DeepMount00/Minerva-3B-base-RAG
+pipeline_tag: text-generation
+---
+
+# QuantFactory/Minerva-3B-base-RAG-GGUF
+This is quantized version of [DeepMount00/Minerva-3B-base-RAG](https://huggingface.co/DeepMount00/Minerva-3B-base-RAG) created using llama.cpp
+
+# Model Card for Minerva-3B-base-QA-v1.0
+
+**Minerva-3B-base-RAG** is a specialized question-answering (QA) model derived through the finetuning of **Minerva-3B-base-v1.0**. This finetuning was independently conducted to enhance the model's performance for QA tasks, making it ideally suited for use in Retrieval-Augmented Generation (RAG) applications.
+
+## Overview
+- **Model Type**: Fine-tuned Large Language Model (LLM)
+- **Base Model**: [Minerva-3B-base-v1.0](https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0), developed by [Sapienza NLP](https://nlp.uniroma1.it) in collaboration with [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) and [CINECA](https://www.cineca.it/)
+- **Specialization**: Question-Answering (QA)
+- **Ideal Use Case**: Retrieval-Augmented Generation applications
+
+---