# memory-optimization

> Complete guide to CPU offloading, gradient checkpointing, memory profiling, and advanced memory-saving strategies with bitsandbytes.

- Source: https://doutorai.pt/en/components/skills__memory-optimization
- Type: Skills
- Category: AI research
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/memory-optimization && curl -fsSL https://doutorai.pt/data/lib/skills__memory-optimization.md -o .claude/skills/memory-optimization/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

````
# Memory Optimization

Complete guide to CPU offloading, gradient checkpointing, memory profiling, and advanced memory-saving strategies with bitsandbytes.

## Overview

Memory optimization techniques for fitting large models:
- **Quantization**: 50-75% reduction (covered in other docs)
- **CPU offloading**: Move weights to CPU/disk
- **Gradient checkpointing**: Trade compute for memory
- **Optimizer strategies**: 8-bit, paged optimizers
- **Mixed precision**: FP16/BF16 training

## CPU Offloading

### Basic CPU Offloading

Move parts of the model to CPU RAM when not in use.

```python
from tr

- 🔒 Full content on the Pro plan (€7.99/month) -
````

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__memory-optimization