llm-d-1.0.14

llm-d is a Kubernetes-native high-performance distributed LLM inference framework

What's Changed

• Fix post minikube merge prometheus install for minikube by @nerdalert in #228
• Add --minikube flag to --uninstall by @nerdalert in #224
• Add "slim" value files for each example that will run the stack on 1xL4 g6.2xlarge by @nerdalert in #230
• Add command to minikube troubleshooting section by @nerdalert in #237
• Add example of llama4 fp8 model by @cfchase in #217
• README updates for values files and minor fixes by @cfchase in #244
• Set instructions to minikube since that's tested, and vanilla kube by @cfchase in #245
• Add doc for creating a cluster for llm-d by @cfchase in #247
• Add more machine type clarity. by @nerdalert in #246
• Add blurb saying only single installation is supported by @cfchase in #249
• chore(ci): change to using public images and no extra creds in GHA by @tumido in #254
• chore(ci): fix the badge img url for release decorator by @tumido in #255
• chore: claim artifacthub ownership by @tumido in #258

Full Changelog: llm-d-1.0.13...llm-d-1.0.14