Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset

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.

Fonte: https://www.marktechpost.com/2025/02/08/fine-tuning-of-llama-2-7b-chat-for-python-code-generation-using-qlora-sfttrainer-and-gradient-checkpointing-on-the-alpaca-14k-dataset/

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