# Hugging Face — Beyond LoRA: Can you beat the most popular fine-tuning technique?

- Company: Hugging Face (huggingface.co)
- Announced: 2026-06-18T00:00:00+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/peft-beyond-lora
- Record: https://forck.live/items/1480-beyond-lora-can-you-beat-the-most-popular-fine-tuning-technique

Hugging Face's blog post discusses parameter-efficient fine-tuning (PEFT) techniques, questioning whether LoRA is always the best choice, and introduces the PEFT library and benchmarks to help users make informed decisions.

## Evidence

Verbatim from https://huggingface.co/blog/peft-beyond-lora:

> When you plan to fine-tune a model in a parameter-efficient way, think beyond LoRA

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Record: https://forck.live/items/1480-beyond-lora-can-you-beat-the-most-popular-fine-tuning-technique
Catalogue: https://forck.live/llms.txt
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