vLLM Multi-LoRA Serving in Python: One Base Model, Many Adapters

Описание: Serve multiple LoRA adapters on a single vLLM base model to avoid duplicating GPU weights and scale many task specializations.
Follow a compact demo to load/unload adapters, route requests per-adapter, enforce an allowlist, and enable safe rollout/rollback while saving GPU memory.
Practical code uses vLLM, LoRA adapters, snapshot_download and Python requests to manage adapter lifecycle and per-request routing.
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