Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- it
|
| 5 |
+
datasets:
|
| 6 |
+
- DeepMount00/gquad_it
|
| 7 |
+
---
|
| 8 |
+
# Model Card for Minerva-3B-base-QA-v1.0
|
| 9 |
+
|
| 10 |
+
**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.
|
| 11 |
+
|
| 12 |
+
## Overview
|
| 13 |
+
- **Model Type**: Fine-tuned Large Language Model (LLM)
|
| 14 |
+
- **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/)
|
| 15 |
+
- **Specialization**: Question-Answering (QA)
|
| 16 |
+
- **Ideal Use Case**: Retrieval-Augmented Generation applications
|