kaustubh67/llama3.1-8b-legal-clause-classifier
The kaustubh67/llama3.1-8b-legal-clause-classifier is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by kaustubh67. This model is specifically fine-tuned for legal clause classification tasks. It was trained 2x faster using Unsloth and Huggingface's TRL library, making it an efficient solution for specialized legal text analysis.
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Overview
The kaustubh67/llama3.1-8b-legal-clause-classifier is an 8 billion parameter language model, fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit base model. Developed by kaustubh67, this model is specialized for the task of legal clause classification.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Specialization: Designed for legal clause classification.
- Training Efficiency: Training was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.
Use Cases
This model is particularly well-suited for applications requiring automated analysis and categorization of legal text, such as identifying specific clauses within contracts, agreements, or other legal documents. Its fine-tuned nature suggests improved performance on domain-specific tasks compared to general-purpose LLMs.