Open-Source AI · Fine-tuning

Axolotl vs Llama Cookbook

Axolotl vs Llama Cookbook compared for 2026 — features, license, ease of use, performance and which one to choose. Config-driven fine-tuning for many models vs Official recipes to fine-tune Llama.

Updated regularly · curated by OpenSourceAI.tech

Choose Axolotl for teams running reproducible training configs. Choose Llama Cookbook for fine-tuning Llama models the supported way.

Axolotl vs Llama Cookbook at a glance

Spec	Axolotl	Llama Cookbook
Category	Fine-tuning	Fine-tuning
Type	Fine-tuning framework	Recipes & scripts
License	Apache-2.0	MIT
Runs locally	Yes	Yes
Primary language	Python	Python
Ease of use	Advanced	Intermediate
Best for	teams running reproducible training configs	fine-tuning Llama models the supported way
GitHub stars	12.2k	18.4k

How Axolotl and Llama Cookbook score

🤝 Too close to call — Axolotl and Llama Cookbook land within a hair (4.1 vs 4.3 / 5). Pick on fit, not on score.

Criterion	Axolotl	Llama Cookbook
Popularity	3.0	3.5
Maintenance	5.0	4.5
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

Fine-tuning framework · Apache-2.0

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

See the Axolotl page →

Llama Cookbook

Recipes & scripts · MIT

The official Meta cookbook of scripts and notebooks for fine-tuning, evaluating and deploying Llama models.

Official, maintained recipes
Covers fine-tuning to deployment
Well-documented notebooks

See the Llama Cookbook page →

Key differences

Axolotl is fine-tuning framework, while Llama Cookbook is recipes & scripts. Their licenses differ (Apache-2.0 vs MIT), which matters if you ship a commercial product. Axolotl leans more advanced-friendly, whereas Llama Cookbook is more suited to intermediate users. In short, Axolotl fits teams running reproducible training configs, and Llama Cookbook fits fine-tuning Llama models the supported way.

Which should you choose?

Choose Axolotl for teams running reproducible training configs. Choose Llama Cookbook for fine-tuning Llama models the supported way.

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 Cookbook easier to use?

Llama Cookbook is generally the easier of the two to get started with, while Axolotl rewards more setup with more control.

Are Axolotl and Llama Cookbook free?

Axolotl is free and open source (Apache-2.0), and Llama Cookbook is free and open source (MIT). Neither charges for the core software.

Can I run Axolotl and Llama Cookbook locally?

Axolotl: yes · Llama Cookbook: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

Axolotl vs Llama Cookbook — which should I pick in 2026?

Choose Axolotl for teams running reproducible training configs. Choose Llama Cookbook for fine-tuning Llama models the supported way.

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