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raphaeloliveira
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Model Details
Model Provider
raphaeloliveira
Model Tree
meta-llama/Llama-3.2-3B
Input Modalities
Output Modalities
Supported Functionality
Uirapuru-JT (Llama 3.2) is intended primarily for research and development in Portuguese Natural Language Processing, particularly for applications involving Brazilian Labour Justice.
The model can be used as a foundation for downstream tasks.
The model is not intended to:
The model was trained on historical Brazilian Labour Court documents and may reproduce biases, linguistic patterns, and institutional characteristics present in the training data.
The model should be considered a research and decision-support tool rather than an autonomous legal reasoning system.
The model was trained on a corpus of Brazilian Labour Court decisions.
The data were anonymised before training. Personally identifiable information was replaced using rule-based and regular-expression procedures.
The training and validation split was 90%/10%.
Uirapuru-JT (Llama 3.2) was obtained through continued pre-training of Llama 3.2 on the Brazilian Labour Law corpus.
Training was performed using four NVIDIA A100 GPUs with 40 GB of memory each.
If you use this model in academic research, please cite:
@article{oliveira2026uirapuru,
title = {Uirapuru-JT},
author = {Oliveira, Raphael Souza de and Nascimento, Erick Giovani Sperandio},
year = {2026}
}
Raphael Souza de Oliveira Erick Giovani Sperandio Nascimento