Serve a Text to Speech Model with vLLM

Learn to deploy and serve the Orpheus Text-to-Speech model using vLLM with continuous batching capabilities in this technical tutorial. Set up a demonstration environment using a one-click template from Runpod, then explore running inference on both fine-tuned and default Orpheus models. Discover the technical implementation details of how vLLM integrates with Orpheus, including the process of decoding audio tokens from text input. Compare inference results between different model configurations, including considerations for fp8 precision and fine-tuning quality. Access the accompanying one-click-llms repository to follow along with the practical implementation steps for serving text-to-speech models efficiently.