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This in-depth tutorial is about fine-tuning LLMs locally with Huggingface Transformers and Pytorch. We use Meta's new Llama-3.2-1B-Instruct model and teach it to predict paper categories using LORA adapters. Along the way I break down all the major things you must know about fine-tuning, from prompting, creating datasets, generating input ...
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