Fine-Tuning Mistral 7B LLM

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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

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Steps

1

Data Preprocessing

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

2

Model Fine-Tuning

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

3

Model Inference

The fine-tuned LLM is used to generate texts based on a prompt.

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GitHub Repository

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

GitHub - valohai/mistral-exampleGitHub