# PEFT v0.17.1 — 0.17.1

- Product: PEFT (https://whatsnew.fyi/product/peft)
- Vendor: Hugging Face
- Date: 2025-08-21
- Version: v0.17.1
- Original notes: https://github.com/huggingface/peft/releases/tag/v0.17.1
- Permalink: https://whatsnew.fyi/product/peft/releases/v0.17.1

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- **fixed** — PEFT no longer removes existing parametrizations from the parameter when using the target_parameters feature
- **changed** — PEFT now raises an error when attempting to add multiple adapters to prevent incorrect behavior

This patch release contains a few fixes (via #2710) for the newly introduced [`target_parameters`](https://huggingface.co/docs/peft/main/en/developer_guides/lora#targeting-nnparameter-directly) feature, which allows LoRA to target `nn.Parameter`s directly (useful for mixture of expert layers). Most notably:

- PEFT no longer removes possibly [existing parametrizations](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.parametrize.register_parametrization.html) from the parameter.
- Adding multiple adapters (via `model.add_adapter` or `model.load_adapter`) did not work correctly. Since a solution is not trivial, PEFT now raises an error to prevent this situation.