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The preferred way to run models is to stand up an inference server (e.g., Triton + TensorRT or vLLM or TGI) locally and then hit it from HELM as an API. This way, HELM can benefit from all the crazy inference optimizations that are done. We need to demonstrate a proof of concept and write docs for this.
The text was updated successfully, but these errors were encountered:
The preferred way to run models is to stand up an inference server (e.g., Triton + TensorRT or vLLM or TGI) locally and then hit it from HELM as an API. This way, HELM can benefit from all the crazy inference optimizations that are done. We need to demonstrate a proof of concept and write docs for this.
The text was updated successfully, but these errors were encountered: