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In this tutorial, the focus is on fine-tuning models within fstp, which currently does not support traditional approaches like layer freezing due to sharding implementation. Two options are available: whole model fine-tuning and "child tuning" for large language models, as explained in a paper from September 2021 called "raise the child in large language model towards effective and generalizable fine tuning." This information is based on code from July 21st.
