Minerva

by Sapienza Natural Language Processing Group

About the model:

LLM pretrained from scratch on Italian.

Model type:

Text

Model performance class:

Full

Link to the model:

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0

Base models:

Minerva-7B-base-v1.0

End model:

Minerva-7B-instruct-v1.0

End model license:

Apache-2.0

About the organisation:

Sapienza NLP, a university research group.

Link to the organisation:

https://nlp.uniroma1.it/

Model release date:

November 2024

Availability

Base Model Data

Data mixture is shared, but not all data in listed datasets is used and no data set containing selected data is provided.

https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0#training-data

End User Model Data

Data mixture is provided with links, though again it is not always indicated which parts of the datasets are used.

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0#sft-training

Base Model Weights

Base LLM model made available for download

https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0

End User Model Weights

Instruct version of the model made available

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0

Training Code

Model card contains very broad description of how the model was trained.

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0

Documentation

Code Documentation

No explicit code is provided, so consequently no documentation of code exists.

Hardware Architecture

Architecture described at a high level in model card.

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0#model-architecture

Preprint

Paper published in ACL.

https://aclanthology.org/2024.clicit-1.77/

Paper

Paper published in ACL.

https://aclanthology.org/2024.clicit-1.77/

Modelcard

Model card is made available and provides insights into necessary components.

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0

Datasheet

No datasheet available.

Access

Licenses

Apache 2.0

https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0

Last updated 13 March 2026

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