baim1999/llama3-legal-chatbot
The baim1999/llama3-legal-chatbot is an 8 billion parameter Llama 3.1 instruction-tuned model developed by baim1999, fine-tuned from unsloth/Llama-3.1-8B-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for legal chatbot applications, leveraging its 32768 token context length for processing extensive legal texts.
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Model Overview
The baim1999/llama3-legal-chatbot is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by baim1999. It was fine-tuned from the unsloth/Llama-3.1-8B-Instruct-bnb-4bit base model, utilizing the Unsloth library for accelerated training, which reportedly enabled a 2x speed improvement, alongside Huggingface's TRL library.
Key Capabilities
- Legal Chatbot Applications: Specifically designed and fine-tuned for use in legal chatbot contexts.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Extended Context Window: Features a 32768 token context length, suitable for handling detailed legal documents and complex queries.
Good For
- Developers building AI assistants or chatbots focused on legal information retrieval and interaction.
- Applications requiring a model capable of processing and responding to queries based on substantial legal texts.
- Experimentation with efficiently fine-tuned Llama 3.1 models for domain-specific tasks.