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Fine-Tuning VLMs for Data Extraction

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Re: Fine-Tuning VLMs for Data Extraction

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post #2

Is it possible to host multiple fine-tuned VLMs on a single machine? like multiple models sharing the GPU(s) for inference?

Yeah. If you have a large enough GPU you can use vanilla pytorch to load as many models as required. Docker is a good option if you have isolated services. Triton, TensorRT, TorchServe, RAY are also good services to checkout, especially when you want to load multiple adapters for the same LLM/VLM backbone. Is there anything specific you are looking to serve?