khbr267/Llama-3-8B-Legal-Chatbot-Exp1
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 3, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
khbr267/Llama-3-8B-Legal-Chatbot-Exp1 is an 8 billion parameter Llama-3 instruction-tuned model developed by khbr267. This model is specifically fine-tuned for legal chatbot applications, leveraging the Llama-3 architecture. It was trained using Unsloth and Huggingface's TRL library for accelerated fine-tuning, making it suitable for legal domain-specific conversational AI.
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Model Overview
khbr267/Llama-3-8B-Legal-Chatbot-Exp1 is an 8 billion parameter language model, fine-tuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model. Developed by khbr267, this model is specifically designed for legal chatbot applications, aiming to provide domain-specific conversational capabilities within the legal field.
Key Capabilities
- Legal Domain Specialization: Fine-tuned to understand and generate responses relevant to legal queries and discussions.
- Llama-3 Architecture: Built upon the robust Llama-3 instruction-tuned framework, providing a strong foundation for conversational AI.
- Efficient Fine-tuning: Utilizes Unsloth and Huggingface's TRL library, enabling faster training times compared to traditional methods.
Good For
- Legal Chatbot Development: Ideal for creating AI assistants or chatbots that can interact with users on legal topics.
- Domain-Specific NLP: Suitable for tasks requiring a nuanced understanding of legal terminology and concepts.
- Rapid Prototyping: The use of Unsloth suggests potential for quicker iteration and deployment in legal tech projects.