# Train and run local AI models

Unsloth is a library that accelerates the training and execution of large language models (LLM) and diffusion models in a native environment. It makes fine-tuning processes of popular models more accessible by optimizing memory usage.

- ★ 75,916
- Python
- GitHub Trending · 2026-08-14

## What you get
- Run large language models and rendering tools on your local computer.
- Perform fine-tuning processes twice as fast and with 70% less memory usage.
- Integrate software development agents like Claude Code with your native models.

## Installation
**Setup for macOS, Linux and WSL**

```
curl -fsSL https://unsloth.ai/install.sh | sh
```


## Running it
**Starting the software development agent**

```
unsloth start claude
```


## If you don't write code
I want to train an AI model on my local computer using Unsloth. Can you explain step by step the optimal configuration settings that will allow me to use my hardware resources in the most efficient way, optimize memory usage and speed up the fine-tuning process?

## Related dictionary terms

## Links
- GitHub repository →
- Read in Turkish →

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Source: TreScout Discover · https://trescout.com/en/discover/unsloth/