Axolotl vs 
LLaMA-Factory
Axolotl vs LLaMA-Factory compared for 2026 — features, license, ease of use, performance and which one to choose. Config-driven fine-tuning for many models vs Fine-tune 100+ models with a UI.
Updated regularly · curated by olud.ai
Axolotl vs LLaMA-Factory at a glance
| Spec | Axolotl | LLaMA-Factory |
|---|---|---|
| Category | Fine-tuning | Fine-tuning |
| Type | Fine-tuning framework | Fine-tuning toolkit |
| License | Apache-2.0 | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | Python |
| Ease of use | Advanced | Intermediate |
| Best for | teams running reproducible training configs | people who want fine-tuning with a UI |
| GitHub stars | 12.2k | — |
Feature comparison
| Feature | Axolotl | LLaMA-Factory |
|---|---|---|
| LoRA / QLoRA | ✓ | ✓ |
| Full fine-tune | ✓ | ✓ |
| Multi-GPU | ✓ | ✓ |
| Web UI | ✗ | ✓ |
| 100+ models | ✓ | ✓ |
| Low-VRAM optimized | ✗ | ✗ |
How Axolotl and LLaMA-Factory score
| Criterion | Axolotl | LLaMA-Factory |
|---|---|---|
| Popularity | 3.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 2.5 | 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
Axolotl
Axolotl is a config-driven fine-tuning framework supporting many model families and training techniques through simple YAML files.
- Reproducible YAML-based training configs
- Supports many models and techniques (LoRA, QLoRA)
- Multi-GPU and cloud friendly
LLaMA-Factory
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
Key differences
Axolotl is fine-tuning framework, while LLaMA-Factory is fine-tuning toolkit. Axolotl leans more advanced-friendly, whereas LLaMA-Factory is more suited to intermediate users. In short, Axolotl fits teams running reproducible training configs, and LLaMA-Factory fits people who want fine-tuning with a UI.
Which should you choose?
Choose Axolotl for teams running reproducible training configs. Choose LLaMA-Factory for people who want fine-tuning with a UI.
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 Axolotl or LLaMA-Factory easier to use?
LLaMA-Factory is generally the easier of the two to get started with, while Axolotl rewards more setup with more control.
Are Axolotl and LLaMA-Factory free?
Axolotl is free and open source (Apache-2.0), and LLaMA-Factory is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Axolotl and LLaMA-Factory locally?
Axolotl: yes · LLaMA-Factory: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Axolotl vs LLaMA-Factory — which should I pick in 2026?
Choose Axolotl for teams running reproducible training configs. Choose LLaMA-Factory for people who want fine-tuning with a UI.
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