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LocalAI/docs/content/advanced/_index.en.md
mudler's LocalAI [bot] 40d35c0385 docs: onboarding overhaul, dedup, and error docs (#7711) (#10895)
* docs: fix CPU image tag (latest, not latest-cpu)

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* docs: use canonical localai/localai registry in models guide

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* docs: fix VAD example, stale FAQ, broken link, CLI list, whats-new dump

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---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 22:08:20 +02:00

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---
weight: 5
title: "Advanced"
description: "Advanced usage"
type: chapter
icon: settings
lead: ""
date: 2020-10-06T08:49:15+00:00
lastmod: 2020-10-06T08:49:15+00:00
draft: false
images: []
---
## Overview
The **Advanced** section covers in-depth topics for users who want to fully leverage LocalAI's capabilities beyond basic usage. These pages are designed for developers, DevOps engineers, and power users who need fine-grained control over model configuration, system resources, and deployment infrastructure.
### Who Should Read This Section
- **Developers** integrating LocalAI into applications
- **DevOps Engineers** deploying LocalAI in production
- **ML Engineers** optimizing model performance
- **System Administrators** managing multi-user installations
---
## Topics
### 🚀 [Advanced Usage](advanced-usage.md)
Comprehensive guide to advanced LocalAI features including multi-modal inference, custom backends, and extended API capabilities.
**Key topics:**
- Multi-modal model support
- Custom backend integration
- Advanced API endpoints
- Request/response customization
**Recommended for:** Developers extending LocalAI functionality
---
### 🎯 [Model Configuration](model-configuration.md)
Complete reference for model configuration files, parameters, and optimization settings.
**Key topics:**
- Configuration file format
- Model-specific parameters
- Quantization settings
- Performance tuning
**Recommended for:** ML engineers optimizing model behavior
---
### 🔒 [Reverse Proxy & TLS](reverse-proxy-tls.md)
Complete guide to securing LocalAI deployments with reverse proxies and TLS certificates.
**Key topics:**
- Nginx/Apache configuration
- TLS certificate setup
- Authentication layers
- Production hardening
**Recommended for:** DevOps engineers deploying to production
---
### 💾 [VRAM Management](vram-management.md)
Advanced techniques for managing GPU memory and optimizing parallel inference.
**Key topics:**
- GPU memory allocation
- Multi-model loading
- Batch processing
- Resource scheduling
**Recommended for:** Users running multiple models on limited hardware
---
## Quick Links
| Task | Documentation |
|------|---------------|
| Configure a model | [Model Configuration](model-configuration.md) |
| Deploy securely | [Reverse Proxy & TLS](reverse-proxy-tls.md) |
| Optimize VRAM usage | [VRAM Management](vram-management.md) |
| Extend functionality | [Advanced Usage](advanced-usage.md) |
---
## Prerequisites
Before diving into advanced topics, ensure you have:
1. ✅ Completed the [Getting Started](../getting-started/) guide
2. ✅ Successfully run LocalAI with a basic model
3. ✅ Basic understanding of command-line interfaces
4. ✅ Familiarity with YAML configuration (for most topics)
---
## Related Sections
- 📚 [Reference](../reference/) - API documentation and command reference
- 🔌 [Installation](../installation/) - Deployment options and requirements
- ⭐ [Features](../features/) - Overview of LocalAI capabilities
---
## Navigation
← [Getting Started](../getting-started/) | [Reference](../reference/) →