LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
LlamaFactory bills itself as unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024), and it is written in Python. It has 74,318 stars and 296 contributors, and it was pushed to within the last few weeks. The Apache-2.0 licence puts no real constraint on commercial use. The most recent tagged release is v0.9.5, from 2026-05-30. Figures come from the GitHub API on 2026-08-26 and refresh daily.
Reviewed by AI Review Rating from GitHub API data How we score
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-20
Releases
-
v0.9.5v0.9.5: Qwen3.5/3.6, Gemma 4, Transformers v5 -
v0.9.4v0.9.4: Goodbye 2025 -
v0.9.3v0.9.3: Llama4, Gemma3, Qwen3, InternVL3, Qwen2.5-Omni -
v0.9.2v0.9.2: MiniCPM-o, SwanLab, APOLLO -
v0.9.1v0.9.1: Many Vision Models, Qwen2.5 Coder, Gradient Fix -
v0.9.0v0.9.0: Qwen2-VL, Liger-Kernel, Adam-mini
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
LlamaFactory does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit llamafactory.readthedocs.ioTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
Changelog
User reviews
No one has reviewed LlamaFactory here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| LlamaFactory this page | 7.3 | - | Yes | ||
| 🥇PEFT | 7.7 | - | Yes | ||
| 🥈PyTorch Image Models (timm) | 7.7 | - | Yes | ||
| 🥉fastai | 7.4 | - | Yes | ||
| DeepSpeed | 7 | - | Yes | ||
| Hugging Face Datasets | 7 | - | Yes | ||
| Label Studio | 6.7 | - | Yes |
Questions
Is LlamaFactory free?
Yes. LlamaFactory advertises a free tier on its own site.
How much does LlamaFactory cost?
LlamaFactory does not publish pricing openly, which usually means it is quote-based. You will need to contact the vendor.
Is LlamaFactory open source?
Yes. LlamaFactory is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is LlamaFactory scored here?
LlamaFactory scores 7.3 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.