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In this post, AWS collaborates with Meta’s PyTorch team to showcase how you can use Meta’s torchtune library to fine-tune Meta Llama-like architectures while using a fully-managed environment provided by Amazon SageMaker Training.
Originally appeared here:
Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker
Go Here to Read this Fast! Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker
