> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anarchy.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Finetuning

> Here we describe how to finetune LLMs and load previously trained models

## Finetuning Models

<Warning>Before you continue, make sure you have a dataset prepared and a foundational model selected.</Warning>

Once you have a prepared dataset, you are ready to create a **new finetune job** on the Anarchy platform.

<Steps>
  <Step title="Kickstart the Process">
    From your dataset page, click on the `+ New Finetune` button at the top right corner of the screen. This will take you to the finetune job page.
  </Step>

  <Step title="Label Your Job">
    Next, **name your finetune job**. Choose something unique that you can reference later.
  </Step>

  <Step title="Select Your Base Model">
    Use the dropdown to choose your model.
    <Tip>You can use previously finetuned models as a base model for further finetuning.</Tip>
  </Step>

  <Step title="Adjust the Advanced Settings">
    Tweak these settings to hone in your finetuning job even further.

    <CardGroup cols={2}>
      <Card title="Epochs" icon="clock">
        The number of times the entire dataset is passed through the model during training.
      </Card>

      <Card title="Learning Rate" icon="gauge-high">
        The step size used for updating the model's parameters during training.
      </Card>

      <Card title="Batch Size" icon="cubes">
        The number of training samples used in one iteration to update the model's parameters.
      </Card>

      <Card title="Checkpoints" icon="timeline">
        Saving the model's state at regular intervals during training for later use or recovery.
      </Card>
    </CardGroup>
  </Step>
</Steps>

## Cost and Credits

Finetuning is a relatively compute-intensive process, and the cost will scale with the **size of your dataset** and the number of **Epochs** you will train.

On the default Pay-as-you-go plan, 1 credit is equivalent to \$1.00USD. For more information about pricing and volume discounts, contact us below or visit our [pricing page](/platform/build_your_own_llms/pricing).

<Snippet file="contact.mdx" />