round-bird/georgia-sports-llama3-sft
The round-bird/georgia-sports-llama3-sft is an 8 billion parameter Llama 3-based model developed by Kevin Slote. This model is fine-tuned for the 'bullshippers project' and is specifically designed for chatbot applications related to Georgia High School Sports. It incorporates safety alignment supervised samples to protect minors, making it suitable for sensitive content generation in this domain.
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Model Overview
The round-bird/georgia-sports-llama3-sft is an 8 billion parameter language model, fine-tuned by Kevin Slote, specifically for the "bullshippers project" chatbot. This model is based on the Llama 3 architecture and is intended for applications related to Georgia High School Sports.
Key Capabilities
- Specialized Chatbot: Designed as a v1 fine-tuned model for chatbot interactions within the Georgia High School Sports context.
- Safety Alignment: Includes supervised safety alignment samples in its SFT (Supervised Fine-Tuning) dataset, specifically addressing the need to protect minors in high school sports discussions.
Intended Use Cases
- Georgia High School Sports Chatbots: Ideal for deployment in Hugging Face Endpoints to power conversational AI applications focused on Georgia High School Sports.
- Content Generation with Safety Constraints: Suitable for generating text where protection of minors is a critical requirement, particularly in sports-related contexts.
Limitations and Risks
The model's SFT data includes safety alignment, but users should be aware that additional safety constraints may be necessary to fully protect minors, as highlighted in the original model card.