This project fine-tunes the LLaMA 3 8B model to generate comprehensive blog posts based on provided prompts. The model is fine-tuned using a blog dataset to produce detailed and relevant content on specific topics. The Unsloth library is used for efficient fine-tuning, making it feasible to run in the Google Colab free tier with minimal GPU utilization.
Blog dataset: Download here