khbr267/Llama-3-8B-Legal-Chatbot-GRPO
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 3, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The khbr267/Llama-3-8B-Legal-Chatbot-GRPO is an 8 billion parameter Llama-3 based model developed by khbr267, fine-tuned for legal chatbot applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed to provide specialized responses within the legal domain, building upon its predecessor, khbr267/Llama-3-8B-Legal-Chatbot-Exp1.
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Model Overview
The khbr267/Llama-3-8B-Legal-Chatbot-GRPO is an 8 billion parameter language model, developed by khbr267, specifically fine-tuned for legal chatbot applications. It is based on the Llama-3 architecture and represents an iteration building upon the khbr267/Llama-3-8B-Legal-Chatbot-Exp1 model.
Key Capabilities
- Specialized Legal Domain: This model is designed to understand and generate responses relevant to legal queries, making it suitable for applications requiring legal context.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Good For
- Legal Chatbots: Ideal for developing conversational AI agents that can assist with legal information, answer legal questions, or provide guidance within a defined legal scope.
- Legal Information Retrieval: Can be leveraged for tasks involving the extraction or summarization of legal documents and precedents.
- Rapid Prototyping: The use of Unsloth for fine-tuning suggests an emphasis on efficiency, making it suitable for developers looking to quickly deploy specialized legal LLMs.