---
library_name: transformers
license: mit
---

# LLM Model Merging

## YouTube Tutorial
<div align="center">
    <a href="https://youtu.be/gNXBp3wttFU">Model Merging: Merge LLMs to Create Frankestein Models - Python, HuggingFace, Mergekit</a>
    <br>
    <br>
    <a href="https://youtu.be/gNXBp3wttFU">
        <img src="./thumbnail1-button.png" height="85%" width="85%%"/>
    </a>
</div>

## GitHub
You can find the GitHub from here; https://github.com/uygarkurt/Model-Merge

In this specific case, I typed `llama-3` into the open LLM leaderboard, took the best 3 models, merged them and created
a better ranking model wihtout any training.

As the main libraries we will be using [mergekit](https://github.com/arcee-ai/mergekit).

<br/>
<div align="center">
    <a href="">
        <img alt="open-source-image"
		src="https://img.shields.io/badge/%E2%9D%A4%EF%B8%8F_Open_Source-%2350C878?style=for-the-badge"/>
    </a>
    <a href="https://youtu.be/gNXBp3wttFU">
        <img alt="youtube-tutorial"
        src="https://img.shields.io/badge/YouTube_Tutorial-grey?style=for-the-badge&logo=YouTube&logoColor=%23FF0000"/>
    </a>
    <a href="https://github.com/uygarkurt/Model-Merge">
      <img alt="github-image"
      src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white"
    </a>
</div>
<br/>