> 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 Create custom fine-tuned models for your use case 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:

		Cover image
Fine Tuning Guide	Our end-to-end walkthrough of fine-tuning a model in Kiln. Includes generating training data.	tuning2.png	Fine Tuning Guide
Train a Reasoning Model	Using a process called distillation, create your own reasoning model.	distill.png	Train a Reasoning Model
Fine Tune For Tool Use	Train a model to use a specific set of tools, at the right time, with the right parameters.	MCP.png	Fine Tuning for Tool Use

{% 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 %}