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

# Introduction

> Learn how to fine-tune `vlm-1` for your use-case.

For enterprise use-cases where you need to fine-tune the model for **custom-tailored cataloging** tasks and **improved accuracy**, you can use our [fine-tuning guides](/guides/fine-tune) to customize the model performance and scalability needs. This can include fine-tuning the model on your own data, customizing the model architecture, or adding new capabilities to the model. Fine-tuning can help you improve the accuracy and performance of the model for your specific cataloging tasks, and also help you scale the model to handle larger volumes of images with more efficient, lightweight fine-tuned models that are optimized for your specific use-case.

<Warning>
  This feature is currently only available for our enterprise-tier customers.
  If you are interested in using this feature, please [contact
  us](mailto:support@vlm.run).
</Warning>