muhammadhabibna/llama3-legal-chatbot-indonesia
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The muhammadhabibna/llama3-legal-chatbot-indonesia is an 8 billion parameter Llama 3.1 model, fine-tuned for Indonesian legal chatbot applications. Developed by muhammadhabibna, this model leverages Unsloth and Huggingface's TRL library for accelerated training. It is specifically optimized to understand and generate responses related to Indonesian legal contexts, making it suitable for specialized legal information retrieval and conversational AI.
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muhammadhabibna/llama3-legal-chatbot-indonesia Overview
This model is an 8 billion parameter variant of the Llama 3.1 architecture, specifically fine-tuned by muhammadhabibna. Its primary focus is on applications within the Indonesian legal domain, aiming to serve as a specialized chatbot.
Key Capabilities
- Indonesian Legal Context Understanding: Optimized to process and interpret queries related to Indonesian legal frameworks and terminology.
- Chatbot Functionality: Designed for conversational interactions, providing relevant responses in a legal context.
- Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training compared to standard methods.
Good For
- Legal Information Retrieval: Assisting users in navigating and understanding Indonesian legal information.
- Specialized Chatbots: Developing conversational AI agents focused on legal advice or information in Indonesia.
- Research and Development: Serving as a base for further fine-tuning or experimentation within the Indonesian legal tech space.