trionohidayat/qwen-3b-legal-indo-rag
The trionohidayat/qwen-3b-legal-indo-rag is a 3.1 billion parameter Qwen2.5-Instruct model, developed by trionohidayat. This model is specifically fine-tuned for legal applications in Indonesian, leveraging Unsloth and Huggingface's TRL library for efficient training. It is designed to provide specialized language understanding and generation capabilities within the Indonesian legal domain, offering a context length of 32768 tokens.
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Model Overview
The trionohidayat/qwen-3b-legal-indo-rag is a 3.1 billion parameter language model, fine-tuned from the unsloth/Qwen2.5-3B-Instruct-bnb-4bit base model. Developed by trionohidayat, this model is specifically optimized for legal applications within the Indonesian context.
Key Characteristics
- Base Model: Qwen2.5-3B-Instruct, known for its strong general language understanding.
- Domain Specialization: Fine-tuned for the Indonesian legal domain, suggesting enhanced performance on legal texts and queries in Bahasa Indonesia.
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for processing lengthy legal documents.
Use Cases
This model is particularly well-suited for:
- Legal Information Retrieval: Assisting in RAG (Retrieval Augmented Generation) systems for Indonesian legal documents.
- Legal Text Analysis: Understanding and summarizing legal texts in Indonesian.
- Legal Question Answering: Providing answers to legal queries based on Indonesian legal frameworks.
Licensing
The model is released under the Apache-2.0 license, allowing for broad use and distribution.