> ## Documentation Index
> Fetch the complete documentation index at: https://liquidai-alay2shah-sync-notebook-snippets.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Customization Options

> Fine-tune and customize Liquid Foundation Models for your specific use cases.

LFM models support fine-tuning with popular frameworks and tools. Whether you need to adapt models for domain-specific tasks, improve accuracy on your data, or optimize for production workflows, these guides will help you get started.

## Get Started

<CardGroup cols={2}>
  <Card title="Workbench" icon="wrench" href="/customization/tools/workbench">
    Evaluate and iterate on prompts with Liquid's no-code Workbench tool
  </Card>

  <Card title="Finetuning Datasets" icon="database" href="/customization/finetuning-frameworks/datasets">
    Prepare datasets in the right format for SFT, DPO, and GRPO training
  </Card>

  <Card title="TRL" icon="sliders" href="/customization/finetuning-frameworks/trl">
    Fine-tune LFM models using Hugging Face's TRL library
  </Card>

  <Card title="Unsloth" icon="bolt" href="/customization/finetuning-frameworks/unsloth">
    Fast and memory-efficient fine-tuning with Unsloth
  </Card>
</CardGroup>