Deploy Meta Llama 3 with vLLM
Exciting news for enthusiasts of open Language Model Markets (LLMs) on Hugging Face! Dive into the latest advancement as we unveil the seamless deployment process of Meta Llama 3 using vLLM on Hugging Face Inference Endpoints. Our comprehensive blog post guides you through the step-by-step procedure, enabling you to leverage vLLM as a custom container within Inference Endpoints effortlessly. With just a few clicks or programmatically utilizing the huggingface_hub library, you can deploy any vLLM-supported LLM with ease. Explore the benefits of customizable container images, allowing configuration of model parameters such as maximum sequence length. Interact with the model conveniently by sending requests using the OpenAI SDK. Plus, enjoy autoscaling and scale-to-zero capabilities for efficient cost management and resource utilization. Rest assured with advanced security features, including private Endpoints, ensuring the integrity of your deployment. Join us on this journey of empowerment and innovation in the world of LLM deployment with Hugging Face.