pytorch backend for lora model

[nguoithichkhampha]

I know triton inference server support to serve the lora model but seems it only supports for LLM model with vLLM backend and TensorRTLLM backend.
Our use case is:
We have a foundation model for eeg data. then we fine tuning the model on different task with peft library from Hugging face.
the output is:

• base model
• many lora adapter for different tasks

How we can run inference with triton server without duplicating the weight of base model