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Model: sapienzanlp/Minerva-7B-instruct-v1.0-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+pipeline_tag: text-generation
+language:
+- it
+- en
+tags:
+- chat
+- minerva-7b
+- gguf
+- instruct
+- dpo
+base_model:
+- sapienzanlp/Minerva-7B-instruct-v1.0
+library_name: transformers
+---
+
+<div style="text-align: center; display: flex; flex-direction: column; align-items: center;">
+    <img src="https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0/resolve/main/minerva-logo.png" style="max-width: 550px; height: auto;"> 
+</div>
+
+# Model Card for Minerva-7B-instruct-v1.0 in GGUF Format
+
+Minerva is the first family of **LLMs pretrained from scratch on Italian** developed by [Sapienza NLP](https://nlp.uniroma1.it)
+in the context of the [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) project, in collaboration with [CINECA](https://www.cineca.it/) and with additional contributions from [Babelscape](https://babelscape.com) and the [CREATIVE](https://nlp.uniroma1.it/creative/) PRIN Project.
+Notably, the Minerva models are truly-open (data and model) Italian-English LLMs, with approximately half of the pretraining data 
+including Italian text. The full tech is available at [https://nlp.uniroma1.it/minerva/blog/2024/11/26/tech-report](https://nlp.uniroma1.it/minerva/blog/2024/11/26/tech-report).
+
+## Description
+
+This is the model card for the GGUF conversion of [**Minerva-7B-instruct-v1.0**](https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0), a 7 billion parameter model trained on almost 2.5 trillion tokens (1.14 trillion in Italian, 
+1.14 trillion in English and 200 billion in code). This repository contains the model weights in float32 and float16 formats, as well as quantized versions in 8-bit, 6-bit, and 4-bit precision.
+
+**Important**: This model is compatible with [llama.cpp](https://github.com/ggerganov/llama.cpp) updated to at least commit `6fe624783166e7355cec915de0094e63cd3558eb` (5 November 2024).
+

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