DeepSeek-R1-0528-Qwen3-8B-GGUF
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Legal-BERT-LGPD is a domain-adapted transformer model for Brazilian legal texts, with a focus on the **Lei Geral de Proteção de Dados (LGPD)**. It is designed to support task of token classification (NER) in the legal domain. This model is based on BERT architecture and was further pre-trained and fine-tuned on Brazilian legal corpora, emphasizing privacy and data protection regulations. The development is grounded in academic research on legal NLP applied to LGPD. The model was developed using domain adaptation techniques over legal corpora in Portuguese. The methodology follows established approaches in Legal NLP, leveraging: - Continued pre-training on domain-specific corpora - Fine-tuning for downstream legal tasks
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