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# Configuration

[`PeftConfigMixin`] is the base configuration class for storing the adapter configuration of a [`PeftModel`], and [
`PromptLearningConfig`] is the base configuration class for soft prompt methods (p-tuning, prefix tuning, and prompt
tuning). These base classes contain methods for saving and loading model configurations from the Hub, specifying the
PEFT method to use, type of task to perform, and model configurations like number of layers and number of attention
heads.

## PeftConfigMixin

[[autodoc]] config.PeftConfigMixin
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## PeftConfig

[[autodoc]] PeftConfig
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## PromptLearningConfig

[[autodoc]] PromptLearningConfig
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