Fine-tune Llama 3 with PyTorch FSDP and Q-Lora on Amazon SageMaker
Read OriginalThis detailed tutorial explains how to fine-tune the Llama 3 large language model using PyTorch FSDP (Fully Sharded Data Parallel) and Q-Lora techniques on Amazon SageMaker. It covers setting up the environment with Hugging Face libraries, preparing datasets, and optimizing the training process for specific AWS instances to reduce memory footprint and computational requirements.
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