Extended Guide: Instruction-tune Llama 2
Read OriginalThis extended guide provides a step-by-step tutorial on instruction-tuning the Llama 2 language model. It covers creating an instruction dataset, fine-tuning the model using the `trl` library and SFTTrainer, and running inference. The goal is to train the model to generate instructions based on a given input, which can be used to create synthetic datasets for personalizing LLMs for tasks like email or content writing.
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