daudisa114/Llama-3-8B-Indo-Legal
The daudisa114/Llama-3-8B-Indo-Legal is an 8 billion parameter Llama-3 model, fine-tuned by daudisa114, specifically optimized for Indonesian legal applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed to provide specialized language understanding and generation capabilities within the Indonesian legal domain, leveraging its Llama-3 architecture and 8192 token context length.
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Model Overview
The daudisa114/Llama-3-8B-Indo-Legal is an 8 billion parameter language model, fine-tuned by daudisa114, based on the Llama-3 architecture. This model is specifically tailored for applications within the Indonesian legal domain, indicating a specialization in processing and generating content relevant to Indonesian law.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/llama-3-8b-Instruct-bnb-4bit. - Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The fine-tuning process was accelerated using Unsloth and Huggingface's TRL library, enabling faster iteration and development.
- Context Length: Supports an 8192-token context window, suitable for handling moderately long legal documents or queries.
Good For
- Indonesian Legal Text Processing: Ideal for tasks requiring an understanding of Indonesian legal terminology, structures, and concepts.
- Specialized Language Generation: Can be used to generate legal summaries, draft legal documents, or answer legal questions specific to the Indonesian context.
- Research and Development: Provides a specialized base for further research or application development in Indonesian legal AI.