vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: NaNs in vLLM using DeepSeek-R1-0528-NVFP4-v2
- [Bug]: EBNF grammar not strictly enforced when n > 1 in parallel generation
- [Bug]: "none" reasoning effort doesn't do what it says it does (and may break output)
- [Bug]: `flashinfer_cutedsl` incompatible with all cross-node EP backends on GB200 NVL72
- [Bug]: Editing `values.labels` in `chart-helm` breaks Service selector and leaves Endpoints empty
- Revert "[Async][Spec Decoding] Zero-bubble async scheduling + spec decoding" (#32951)
- [Bug]: KV Cache Memory Error with 262K Context on High VRAM Setup (Regression from Previous Version)
- [OpenAI] Fix reasoning_tokens accounting for MiniMax M2 chat completions
- [Bug]: spec decoding nonparallel 路径 draft/target hidden size 不兼容,建议适配不同hidden size
- [Bug] Serialize xgrammar compilation for parallel structured outputs
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- Python not yet supported