304  peft(1) - Kailash Tool Reference

304.1 peft

peft - Hugging Face PEFT — parameter-efficient fine-tuning.

Layer OPS
Category o-05-ai-engineering-sdks-dev-env
Safety class safe
Licence Apache-2.0
Upstream github.com/huggingface/peft

304.1.1 NAME

peft - Hugging Face PEFT — parameter-efficient fine-tuning.

304.1.2 SYNOPSIS & usage

Derived from the upstream README at generation time; verify against --help where the tool is installed.

pip install peft
from peft import LoraConfig
model = ...  # transformers model
peft_config = LoraConfig(...)
model.add_adapter(peft_config, adapter_name="lora_1")

304.1.3 DESCRIPTION (upstream)

Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. –> Fine-tuning large pretrained models is often prohibitively costly due to their scale. Parameter-Efficient Fine-Tuning (

304.1.4 SEE ALSO

ref: pin - verified 2026-10-14