README.md

metadata

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 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, developed by Sapienza NLP in collaboration with Future Artificial Intelligence Research (FAIR) and CINECA
• Specialization: Question-Answering (QA)
• Ideal Use Case: Retrieval-Augmented Generation applications

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