Open-Source AI · Fine-tuning

Llama Cookbook vs ms-swift

Llama Cookbook vs ms-swift compared for 2026 — features, license, ease of use, performance and which one to choose. Official recipes to fine-tune Llama vs Fine-tune 500+ LLMs and VLMs.

Updated regularly · curated by OpenSourceAI.tech

Choose Llama Cookbook for fine-tuning Llama models the supported way. Choose ms-swift for fine-tuning vision-language models.

Llama Cookbook vs ms-swift at a glance

Spec	Llama Cookbook	ms-swift
Category	Fine-tuning	Fine-tuning
Type	Recipes & scripts	Training framework
License	MIT	Apache-2.0
Runs locally	Yes	Yes
Primary language	Python	Python
Ease of use	Intermediate	Intermediate
Best for	fine-tuning Llama models the supported way	fine-tuning vision-language models
GitHub stars	18.4k	14.8k

How Llama Cookbook and ms-swift score

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

Criterion	Llama Cookbook	ms-swift
Popularity	3.5	3.0
Maintenance	4.5	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 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 →

ms-swift

Training framework · Apache-2.0

ms-swift from ModelScope supports fine-tuning and deploying hundreds of language and vision-language models with a consistent CLI and UI.

Covers 500+ models including VLMs
Consistent CLI and web UI
Strong quantization support

See the ms-swift page →

Key differences

Llama Cookbook is recipes & scripts, while ms-swift is training framework. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. In short, Llama Cookbook fits fine-tuning Llama models the supported way, and ms-swift fits fine-tuning vision-language models.

Which should you choose?

Choose Llama Cookbook for fine-tuning Llama models the supported way. Choose ms-swift for fine-tuning vision-language models.

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 Cookbook or ms-swift easier to use?

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

Are Llama Cookbook and ms-swift free?

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

Can I run Llama Cookbook and ms-swift locally?

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

Llama Cookbook vs ms-swift — which should I pick in 2026?

Choose Llama Cookbook for fine-tuning Llama models the supported way. Choose ms-swift for fine-tuning vision-language models.

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