Deploy Llama 3 with UbiOps

In this tutorial, UbiOps demonstrates how to deploy Meta’s latest large language model, Llama 3, in under 15 minutes. Llama 3 is available in two versions: an 8 billion parameter model and a 70 billion parameter model. The video focuses on deploying the Llama 3 8B instruct model on UbiOps. The step-by-step guide includes creating a UbiOps account with GPU access, setting up a custom environment, creating a deployment, and defining input and output parameters. It also covers creating a version by uploading the deployment package and setting up a Hugging Face token as an environment variable. Once the setup is complete, users can make inference requests to test the deployed model. The tutorial also provides tips on building a user-friendly front-end for the chatbot using Streamlit. Viewers are encouraged to check out other videos and guides for additional capabilities like RAG and fine-tuning.