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

# Quantized Modules

> Quantized neural network modules

## Overview

Quantized neural network modules

<Card title="Official PyTorch Documentation" icon="book" href="https://pytorch.org/docs/stable/quantization.html#quantized-modules">
  View the complete official documentation for Quantized Modules
</Card>

## Quick Links

<CardGroup cols={2}>
  <Card title="API Reference" icon="code" href="https://pytorch.org/docs/stable/quantization.html#quantized-modules">
    Detailed API documentation
  </Card>

  <Card title="Examples" icon="lightbulb" href="https://pytorch.org/docs/stable/quantization.html#quantized-modules#examples">
    Code examples and tutorials
  </Card>

  <Card title="Source Code" icon="github" href="https://github.com/pytorch/pytorch">
    View on GitHub
  </Card>

  <Card title="Community" icon="users" href="https://discuss.pytorch.org">
    Join the discussion
  </Card>
</CardGroup>

## What You'll Learn

This section covers:

* Core concepts and fundamentals
* API reference with examples
* Best practices and patterns
* Common pitfalls to avoid
* Performance optimization tips

## Getting Started

```python theme={null}
import torch

# Your code here
```

## Key Functions

Explore the main functions and classes in this category:

<AccordionGroup>
  <Accordion title="Function 1">
    Description and usage
  </Accordion>

  <Accordion title="Function 2">
    Description and usage
  </Accordion>

  <Accordion title="Function 3">
    Description and usage
  </Accordion>
</AccordionGroup>

## Next Steps

<CardGroup cols={2}>
  <Card title="Continue Learning" icon="arrow-right">
    Explore related topics
  </Card>

  <Card title="Try Examples" icon="code">
    Run practical examples
  </Card>
</CardGroup>

## Resources

* [Official PyTorch Docs](https://pytorch.org/docs/stable/quantization.html#quantized-modules)
* [PyTorch Tutorials](https://pytorch.org/tutorials)
* [PyTorch Forums](https://discuss.pytorch.org)
* [GitHub Repository](https://github.com/pytorch/pytorch)

***

<Note>
  This documentation is supplementary to the [official PyTorch documentation](https://pytorch.org/docs/stable/quantization.html#quantized-modules).
  Always refer to the official docs for the most up-to-date information.
</Note>