Setting Up Llama 3 Using Hugging Face

Llama 3 is an open-source modelAn open-source model is a model whose source code is publicly available to everyone for use and modifications. by MetaAI that is publicly available to everyone. The Llama 3 model is available on many platforms, including Meta AI, Kaggle, Hugging Face, and NVIDIA NIM by Meta. Some third-party platforms also deploy Llama 3 on their platforms and allow access via API keys such as Together AI, Perplexity AI, Replicate AI, etc. Users can access the model from any of these sources.

Accessing Llama 3 via Hugging Face

Hugging Face is an open-source machine learning platform where users can explore, share, deploy, and collaborate on thousands of models, datasets, and applications. Meta AI has made all variants of its LLama models, including LLama 3, accessible on Hugging Face. This allows users to download and fine-tune models on various downstream tasks such as text summarization, question-answering, etc.

Let's understand how to access Llama 3 from Hugging Face and retrieve responses using Python.

1. Set up your Hugging Face account

2. Request Llama 3 from Meta

3. Install required libraries

4. Hugging Face CLI

5. Download the model

6. Start prompting