Open-Source AI · Fine-tuning

LLaMA-Factory vs PEFT

LLaMA-Factory vs PEFT compared for 2026 — features, license, ease of use, performance and which one to choose. Fine-tune 100+ models with a UI vs LoRA and friends from Hugging Face.

Updated regularly · curated by olud.ai

Choose LLaMA-Factory for people who want fine-tuning with a UI. Choose PEFT for cheap fine-tuning with LoRA/QLoRA.

LLaMA-Factory vs PEFT at a glance

Spec	LLaMA-Factory	PEFT
Category	Fine-tuning	Fine-tuning
Type	Fine-tuning toolkit	Parameter-efficient fine-tuning
License	Apache-2.0	Apache-2.0
Runs locally	Yes	Yes
Primary language	Python	Python
Ease of use	Intermediate	Intermediate
Best for	people who want fine-tuning with a UI	cheap fine-tuning with LoRA/QLoRA
GitHub stars	—	21.4k

How LLaMA-Factory and PEFT score

🤝 Too close to call — LLaMA-Factory and PEFT land within a hair (4.5 vs 4.4 / 5). Pick on fit, not on score.

Criterion	LLaMA-Factory	PEFT
Popularity	n/a	3.5
Maintenance	n/a	5.0
Ease of use	3.5	3.5
Privacy	5.0	5.0
License freedom	5.0	5.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

LLaMA-Factory

Fine-tuning toolkit · Apache-2.0

LLaMA-Factory is a unified toolkit for fine-tuning over a hundred model families, with both a command line and a web UI for no-code training.

Supports 100+ model families
Web UI for no-code fine-tuning
Many methods: LoRA, QLoRA, full, DPO

Visit LLaMA-Factory →

PEFT

Parameter-efficient fine-tuning · Apache-2.0

PEFT is Hugging Face's library for parameter-efficient fine-tuning, implementing LoRA, QLoRA, adapters and more so you can adapt large models cheaply.

Implements LoRA, QLoRA and adapters
Tight Transformers integration
Train big models on small hardware

See the PEFT page →

Key differences

LLaMA-Factory is fine-tuning toolkit, while PEFT is parameter-efficient fine-tuning. In short, LLaMA-Factory fits people who want fine-tuning with a UI, and PEFT fits cheap fine-tuning with LoRA/QLoRA.

Which should you choose?

Choose LLaMA-Factory for people who want fine-tuning with a UI. Choose PEFT for cheap fine-tuning with LoRA/QLoRA.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is LLaMA-Factory or PEFT easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are LLaMA-Factory and PEFT free?

LLaMA-Factory is free and open source (Apache-2.0), and PEFT is free and open source (Apache-2.0). Neither charges for the core software.

Can I run LLaMA-Factory and PEFT locally?

LLaMA-Factory: yes · PEFT: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

LLaMA-Factory vs PEFT — which should I pick in 2026?

Choose LLaMA-Factory for people who want fine-tuning with a UI. Choose PEFT for cheap fine-tuning with LoRA/QLoRA.

People also compare

Unsloth vs LLaMA-Factory Unsloth vs PEFT Axolotl vs LLaMA-Factory Axolotl vs PEFT LLaMA-Factory vs TRL LLaMA-Factory vs Torchtune

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →