In this post, we explored deploying Lightweight Language Models (LLMs) using WasmEdge, a high-performance WebAssembly runtime, within a HomeLab environment. The process involved preparing an OpenAI-compatible API server, configuring the Wasi-NN plugin, and deploying the setup to HomeLab using Kubernetes (K3s). The post also detailed the steps for testing the API server and integrating it into a Java application. Overall, the guide provides a comprehensive walkthrough of hosting and utilizing LLMs with WasmEdge in a local environment.