A fine-tuned version of the LLaMA-2-7b model, trained specifically to generate humorous responses. It is optimized using Supervised Fine-Tuning (SFT) on a dataset of prompts and completions curated to enhance humor, with the data scraped from a SubReddit known for its comedic content. The model is designed to understand and produce witty, contextually relevant, and engaging responses, making it suitable for applications requiring humor generation.
