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
- [Rust Frontend] Tool-call argument parsing diverges from the Python parsers (coercion, whitespace, unions)
- [Rust Frontend] Match Python union-type coercion precedence
- [Bug]: GPT-OSS models silently ignore unsupported content types (input_file, etc.)
- [Bug] v0.24.0: DeepGEMM "Unknown recipe" assertion in FP8 kernel warmup on Blackwell (sm_120) — regression vs 0.23.0
- [RFC]: Streaming Derender for Disaggregated Serving
- [Usage]: vLLM 0.24.0 crashes on startup with Qwen3.6-27B-FP8 on Blackwell SM120 — DeepGemm warmup ignores auto-disable
- [Rust Frontend] Validate structured-output requests to match Python
- Torch Stable ABI pre-commit hook
- [Performance]: Impact of Full Cuda Graph on different model sizes, batch size on B200
- [Bugfix] Fix misclassification of prefill as uniform decode for hybrid models
- Docs
- Python not yet supported