vllm-plugin-fl-setup-flagos

Installing vLLM-Plugin-FL across multiple hardware backends involves a five-step workflow: detect your hardware, install the plugin, install FlagGems, apply backend-specific configuration, and run a quick inference test to verify the setup.

Yes, vLLM-Plugin-FL supports Ascend and Moore Threads hardware alongside NVIDIA and Iluvatar. The setup workflow automatically detects your specific hardware backend and applies tailored configuration steps for it.

Prerequisites for vLLM-Plugin-FL setup include a Linux environment, Python 3.10, vLLM v0.13.0, and access to hardware-specific references. Compatible hardware includes NVIDIA, Ascend, Iluvatar, or Moore Threads accelerators.

Yes, you can integrate FlagGems and FlagCX during vLLM-Plugin-FL installation. The workflow includes installing FlagGems and optionally installing FlagCX with backend-specific adjustments to ensure hardware compatibility.

You verify vLLM-Plugin-FL setup after configuration by running a quick inference test. This end-to-end verification checks that the entire stack, including dependencies and backend-specific adjustments, is functioning correctly.