Fine-Tuning with Llama 3

中级技能水平

更新时间 2026年3月

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

课程描述

Fine-tuning the Llama model

This course provides a comprehensive guide to preparing and working with Llama models. Through hands-on examples and practical exercises, you'll learn how to configure various Llama fine-tuning tasks.

Prepare datasets for fine-tuning

Start by exploring dataset preparation techniques, including loading, splitting, and saving datasets using the Hugging Face Datasets library, ensuring high-quality data for your Llama projects.

Work with fine-tuning frameworks

Explore fine-tuning workflows using cutting-edge libraries such TorchTune and Hugging Face’s SFTTrainer. You'll learn how to configure fine-tuning recipes, set up training arguments, and utilize efficient techniques like LoRA (Low-Rank Adaptation) and quantization using BitsAndBytes to optimize resource usage. By combining techniques learned throughout the course, you’ll be able to customize Llama models to suit your projects' needs in an efficient way.

先决条件

Working with Llama 3

Preparing for Llama fine-tuning

Explore options for fine-tuning Llama 3 models and dive into TorchTune, a library built to simplify fine-tuning. This chapter guides you through data preparation, TorchTune's recipe-based system, and efficient task configuration, providing the key steps to launch your first fine-tuning task.

The Llama fine-tuning libraries

50 XP

Listing TorchTune recipes

50 XP

Running a TorchTune task

50 XP

Preprocessing data for fine-tuning

50 XP

Filtering datasets for evaluation

100 XP

Creating training samples

100 XP

Saving preprocessed datasets

100 XP

Fine-tuning with TorchTune

50 XP

Defining custom recipes

100 XP

Saving custom recipes

100 XP

Running custom fine-tuning

50 XP

开始章节

Fine-tuning with SFTTrainer on Hugging Face

Learn how fine-tuning can significantly improve the performance of smaller models for specific tasks. Start with fine-tuning smaller Llama models to enhance their task-specific capabilities. Next, discover parameter-efficient fine-tuning techniques such as LoRA, and explore quantization to load and use even larger models.

Model fine-tuning with Hugging Face

50 XP

Setting up Llama training arguments

100 XP

Fine-tuning Llama for customer service QA

100 XP

Evaluate generated text using ROUGE

100 XP

Efficient fine-tuning with LoRA

50 XP

Using LoRA adapters

100 XP

LoRA fine-tuning Llama for customer service

100 XP

Making models smaller with quantization

50 XP

Loading 8-bit models

100 XP

Speeding up inference in quantized models

100 XP

Congratulations!

50 XP

开始章节

Fine-Tuning with Llama 3

课程完成

获得成就证明

将此证书添加到您的 LinkedIn 档案、简历或履历中
在社交媒体和绩效评估中分享立即注册

Fine-Tuning with Llama 3

需要团队培训？

课程描述

Fine-tuning the Llama model

Prepare datasets for fine-tuning

Work with fine-tuning frameworks

先决条件

Preparing for Llama fine-tuning

Fine-tuning with SFTTrainer on Hugging Face

获得成就证明

加入超过19百万学习者，今天就开始Fine-Tuning with Llama 3！

通过 DataCamp for Mobile 提升您的数据技能

课程描述

Fine-tuning the Llama model

Prepare datasets for fine-tuning

Work with fine-tuning frameworks

获得成就证明

加入超过.css-nklxlk{color:var(--wf-brand--main, #03EF62);}19百万学习者，今天就开始Fine-Tuning with Llama 3！

创建您的免费帐户

通过 DataCamp for Mobile 提升您的数据技能

加入超过19百万学习者，今天就开始Fine-Tuning with Llama 3！