|
--- |
|
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 |
|
|
|
--- |
