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Finetuning Models

Before you continue, make sure you have a dataset prepared and a foundational model selected.
Once you have a prepared dataset, you are ready to create a new finetune job on the Anarchy platform.
1

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.
2

Label Your Job

Next, name your finetune job. Choose something unique that you can reference later.
3

Select Your Base Model

Use the dropdown to choose your model.
You can use previously finetuned models as a base model for further finetuning.
4

Adjust the Advanced Settings

Tweak these settings to hone in your finetuning job even further.

Epochs

The number of times the entire dataset is passed through the model during training.

Learning Rate

The step size used for updating the model’s parameters during training.

Batch Size

The number of training samples used in one iteration to update the model’s parameters.

Checkpoints

Saving the model’s state at regular intervals during training for later use or recovery.

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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.

Contact Sales

Get in touch for custom guidance on productionizing finetuned LLMs.