In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised fine-tuning with the SFTTrainer. Leveraging the Alpaca-14k dataset, we walk through setting up the environment, configuring LoRA parameters, and applying memory optimization strategies to train a model […]
The post Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset appeared first on MarkTechPost.