---
weight: 20
title: "Advanced"
description: "Advanced usage and configuration"
type: chapter
icon: settings
lead: "Deep dive into LocalAI's advanced features, configuration options, and optimization techniques."
date: 2020-10-06T08:49:15+00:00
lastmod: 2026-03-09T00:00:00+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

---

### 🔧 [Fine-Tuning](fine-tuning.md)
Guide to fine-tuning models with LocalAI for domain-specific applications.

**Key topics:**
- Training data preparation
- Fine-tuning parameters
- Evaluation metrics
- Best practices

**Recommended for:** Users creating specialized models

---

### 🔒 [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/) →
