Getting Started with 1-Click Models on GPU Droplets - A Guide to Llama 3.1 with Hugging Face

In this guide, we’ll show you how to quickly set up and use DigitalOcean’s one-click, pre-configured Hugging Face Llama 3.1 model on a DigitalOcean GPU Droplet. We’ll walk you through the simple process so you can get started right away. We’ll also cover what makes Llama 3.1 unique compared to previous Llama models and understand three fundamental concepts from Hugging Face: Transformers, Pipelines, and Tokenizers.

Introduction

In July 2024, Meta launched Llama 3.1 with its three variants: 405B, 70B, and 8B. The biggest model in this release is the 405B model pre-trained on ~15 trillion tokens, which can now compete with the top AI models. It excels in general knowledge, math, tool use, and multilingual translation, which means it can handle complex tasks just as well as leading AI models.

What makes Llama 3.1 special is how it opens up new opportunities for AI innovation. The 405B model can help generate synthetic data and train smaller models more efficiently, which we haven’t seen at this scale in open-source AI before.

Along with the 405B model, Llama 3.1 also introduces upgraded 8B and 70B models. These versions now support multiple languages, have a longer context length of 128K tokens, and show improved reasoning skills. This makes them perfect for tasks like summarizing long texts, building multilingual chatbots, and creating coding assistants.

Meta has updated the license for these models to support developers. We can now use the outputs from Llama models to improve other models, hence more freedom to innovate. As always, staying true to the spirit of open source, these models can be downloaded from llama.meta.com and Hugging Face or start using them right away.