> For the complete documentation index, see [llms.txt](https://docs.valohai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.valohai.com/project-gallery/nlp-and-llm/mistral-example.md).

# Fine-Tuning Mistral 7B LLM

***

### Overview

This example demonstrates how to:

* Preprocess datasets for Mistral fine-tuning
* Fine-tune a large language model using Valohai
* Run inference with the fine-tuned checkpoint
* Deploy an endpoint for inference

***

### Steps

{% stepper %}
{% step %}
**Data Preprocessing**

Fetch data from an S3 bucket and automatically store it in Valohai for preprocessing and tokenization using Mistral.
{% endstep %}

{% step %}
**Model Fine-Tuning**

A base-model is loaded and is fine-tuned using the "PEFT" method to better understand video gaming texts.
{% endstep %}

{% step %}
**Model Inference**

The fine-tuned LLM is used to generate texts based on a prompt.
{% endstep %}
{% endstepper %}

***

### GitHub Repository

The repository walks you through how to go through the above steps:

{% embed url="<https://github.com/valohai/mistral-example>" %}


---

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