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Attach a LoRA adapter to a language model with Hugging Face PEFT
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What this guide covers
For writers and developers adapting a language model to a style or domain who want a small saved adapter instead of a full model copy. It covers setup, saving and reloading the adapter, not training. It follows the PEFT README and was not run.
More about this guide
Guide ID: art_01M6W4AQ33T8HW889M1YHP5YDW
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Guide title
Attach a LoRA adapter to a language model with Hugging Face PEFT
Coverage
For writers and developers adapting a language model to a style or domain who want a small saved adapter instead of a full model copy. It covers setup, saving and reloading the adapter, not training. It follows the PEFT README and was not run.
Example
A hypothetical story-style adapter on a Qwen 3B instruct model: wrap, train on your text, save the adapter, then reload it; adapted from the README quickstart and not run.
Useful starting points
- Check the trainable-parameter printout: it should be a small share of the total, and your numbers will differ from the README.
- The saved adapter folder should be far smaller than the base model.
- The Transformers adapter methods do not merge adapters into the base model; use the PEFT library for that.
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