🤗 PEFT 迎來全新合併方法：輕鬆整合多個 LoRA 適配器
Original: 🤗 PEFT welcomes new merging methods
Hugging Face's PEFT (Parameter-Efficient Fine-Tuning) library has recently received a major update, officially adding support for several…
Hugging Face 的 PEFT 庫正式支援多種先進的 LoRA 合併技術，包括 TIES-Merging、DARE 和 Task Arithmetic。這些方法解決了傳統線性合併時常見的參數干擾與性能衰退問題。開發者現在可以透過簡單的 API，將針對不同任務微調的適配器融合成單一模型，大幅提升多任務模型的部署效率。
Hugging Face's PEFT (Parameter-Efficient Fine-Tuning) library has recently received a major update, officially adding support for several advanced adapter merging methods. In the past, when developers wanted to merge multiple LoRA adapters fine-tuned for different tasks, they were typically limited to simple linear weighted averaging (linear combination). However, this blunt merging approach often caused interference between parameters, resulting in a significant drop in model performance.
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