Hi @Suhas -
BentoVLLM is an example project providing a bare minimum structure for serving LLM with BentoML and VLLM. It is easy to customize if you’re familiar with BentoML, and allow advanced users to build on top, e.g. composing multiple LLMs or chain LLM calls with smaller language models or other type of models.
OpenLLM on the other side is fully packaged solution for self-hosting LLM. If you just want to run an open source LLM over an OpenAI compatible endpoint, it is super easy to do so. You can customize OpenLLM’s behavior via parameters, configs, or providing fine-tuned model weights.