Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset

Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset

Discover how to fine-tune a Llama2 7B model using QLora with a Chain-of-Thought (CoT) dataset in this 25-minute video tutorial. Learn the step-by-step process of implementing QLora fine-tuning techniques on the Llama2 7B model, focusing on enhancing its performance with CoT reasoning. Access accompanying Jupyter notebooks for both Llama2 and CodeLlama implementations, providing hands-on experience in machine learning and data science applications. Gain valuable insights into advanced language model fine-tuning methods and their practical applications in improving AI reasoning capabilities.