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Easy, fast, and cheap LLM serving for everyone vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. vLLM is fast with: Efficient management
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hy_v4_tool_parser
2+ week, 1+ hour ago (620+ words) Pure tool-call parsing logic for HYV4. Returns plain dicts; no vLLM types. Holds only parser state: the structural token strings/ids, the compiled regexes, and the streaming incremental state. Stateless argument parsing is delegated to the module-level utilities above. Streaming has…...
sharded_rdt_fake
2+ week, 6+ day ago (525+ words) Op-chain recording for the sharded-RDT backend. The consumer asks the trainer for the exact slice a worker consumes, described as an op chain replayed on the trainer's live tensor. FakeRDTTensor builds the chain by intercepting the model's own weight loaders;…...