PyaeSoneK/LlamaV2LegalFineTuned
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:openrailArchitecture:Transformer Open Weights Cold
PyaeSoneK/LlamaV2LegalFineTuned is a 7 billion parameter LlamaV2-based model fine-tuned for legal question answering. It specializes in providing well-reasoned responses to common citizen's legal questions, including citation resolution and suggestions in constitutional law or related documents and articles. The model is designed to assist with legal inquiries within a 4096-token context window.
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PyaeSoneK/LlamaV2LegalFineTuned: Legal Question Answering Model
PyaeSoneK/LlamaV2LegalFineTuned is a 7 billion parameter language model built upon the LlamaV2 architecture. This model has been specifically fine-tuned using a custom dataset to address legal questions posed by common citizens. Its core strength lies in generating comprehensive and well-reasoned legal responses.
Key Capabilities
- Legal Question Answering: Provides detailed answers to general legal inquiries.
- Citation Resolution: Offers legal-linking capabilities, including resolving and suggesting citations.
- Constitutional Law Focus: Demonstrates particular proficiency in constitutional law, documents, and articles.
- Context Handling: Processes inputs up to a 4096-token context length.
Good For
- Legal Information Retrieval: Assisting individuals with understanding legal concepts and questions.
- Legal Research Support: Identifying relevant constitutional law citations and documents.
- Educational Tools: Providing explanations for legal scenarios.