Ridhsaid3/Llama-3-8B-Indo-Legal-GRPO
Ridhsaid3/Llama-3-8B-Indo-Legal-GRPO is an 8 billion parameter Llama 3 model developed by Ridhsaid3, fine-tuned for Indonesian legal applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is specifically designed to excel in tasks related to Indonesian legal contexts, building upon its predecessor, Ridhsaid3/Llama-3-8B-Indo-Legal-SFT. With an 8192 token context length, it offers robust performance for specialized legal text processing.
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Ridhsaid3/Llama-3-8B-Indo-Legal-GRPO Overview
This model is an 8 billion parameter Llama 3 variant, developed by Ridhsaid3, specifically fine-tuned for applications within the Indonesian legal domain. It builds upon the previously fine-tuned Ridhsaid3/Llama-3-8B-Indo-Legal-SFT model, indicating a specialized focus on legal language and concepts relevant to Indonesia.
Key Characteristics
- Architecture: Based on the Llama 3 family, providing a strong foundation for language understanding and generation.
- Parameter Count: Features 8 billion parameters, balancing performance with computational efficiency.
- Context Length: Supports an 8192 token context window, suitable for processing moderately long legal documents or queries.
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Primary Use Case
This model is primarily intended for tasks requiring deep understanding and generation of text within the Indonesian legal framework. Its specialized fine-tuning makes it particularly suitable for:
- Analyzing Indonesian legal documents.
- Answering questions related to Indonesian law.
- Assisting in legal research specific to Indonesia.
- Processing and generating legal texts in the Indonesian language.