video1.0<iframe src="https://www.loom.com/embed/aef41fcdb4b144e4881404c42fb2b77c" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/aef41fcdb4b144e4881404c42fb2b77c-a81d347a1db96370-full.jpg1225.575573This guide demonstrates two ways to deploy and test Light LLM with Ripple sign models. First, it deploys Light LLM locally with Docker Compose, then uses the Light LLM UI at /ui (port 4000) and an API endpoint on an OpenShift cluster to add a custom model named with the openai/ prefix (for example laguna s) and verify connectivity via UI and the harness. Next, it deploys Light LLM inside the Kubernetes cluster using Helm, creates required secrets for the master key and Light LLM Salt key, configures an OpenShift route without TLS, and confirms the migrations job completes and the endpoint responds. It then repeats model creation and testing using the in-cluster service URL and validates inference through both the UI and harness logs.