> For the complete documentation index, see [llms.txt](https://docs.kiln.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kiln.tech/docs/fine-tuning.md).

# Fine Tuning

Kiln makes it easy to fine-tune a wide variety of models like GPT-4o, Llama, Mistral, Gemma, and many more. Check out our fine tuning docs to get started:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Fine Tuning Guide</strong></td><td>Our end-to-end walkthrough of fine-tuning a model in Kiln. Includes generating training data.</td><td><a href="/files/reaAySjXgTjdVkcX2Tzy">/files/reaAySjXgTjdVkcX2Tzy</a></td><td><a href="/pages/UQ5mUIArq32hihhGE4Sv">/pages/UQ5mUIArq32hihhGE4Sv</a></td></tr><tr><td><strong>Train a Reasoning Model</strong></td><td>Using a process called distillation, create your own reasoning model.</td><td><a href="/files/Q49HXGUBF6ORGBiL01mv">/files/Q49HXGUBF6ORGBiL01mv</a></td><td><a href="/pages/RaqHbAJUWPl2zk68NF3E">/pages/RaqHbAJUWPl2zk68NF3E</a></td></tr><tr><td><strong>Fine Tune For Tool Use</strong></td><td>Train a model to use a specific set of tools, at the right time, with the right parameters.</td><td><a href="/files/RqmwElvFlPnm4q3vJ1Nq">/files/RqmwElvFlPnm4q3vJ1Nq</a></td><td><a href="/pages/SbUpu30PLNTEjXCKTNOK">/pages/SbUpu30PLNTEjXCKTNOK</a></td></tr></tbody></table>

{% hint style="success" %}
**Before Fine-Tuning, consider using Kiln's** [**Automatic Prompt Optimizer**](/docs/prompts/automatic-prompt-optimizer.md)**.** It has many of the benefits of fine-tuning (automated data driven optimization), while the result is much easier to deploy than a fine-tuned model.
{% endhint %}
