Model Overview

This model, zeri000/nepali_legal_qwen_merged_3, is a specialized 1.5 billion parameter instruction-tuned language model built upon the Qwen2 architecture. Developed by zeri000, it was fine-tuned using Unsloth for accelerated training and Huggingface's TRL library.

Key Capabilities

• Nepali Legal Domain Specialization: The model is specifically trained to understand and generate text within the Nepali legal context.
• Efficient Fine-tuning: Leverages Unsloth for faster training, indicating potential for efficient deployment and further adaptation.
• Qwen2 Architecture: Benefits from the robust base architecture of Qwen2, providing strong language understanding capabilities.
• Extended Context Window: Features a 32768 token context length, enabling the processing of longer legal documents and complex queries.

Good For

• Legal Information Retrieval: Answering questions related to Nepali laws, regulations, and legal precedents.
• Document Analysis: Summarizing or extracting key information from Nepali legal texts.
• Legal Text Generation: Assisting in drafting legal documents or responses in Nepali.
• Research in Nepali Law: Aiding legal professionals and researchers in navigating Nepali legal literature.