One LLM Model, Multiple Adapters: Deploying on AWS SageMaker

One LLM Model, Multiple Adapters: Deploying on Amazon SageMaker How to serve different fine-tuned tasks from one shared model using vLLM and LoRA. Imagine you have a model that can look at an image and answer questions about it. You fine-tune it for one task: reading a small table from an image. Later, you fine-tune it for another task: describing an image in a particular format. Now you have two useful versions of the same model. How should you deploy them? One approach is to create a separate endpoint for each version. That is easy to understand, but each deployment may load another copy of