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
- [Feature] Add VLLM_TRITON_AUTOTUNE with functional autotune control
- Bug: Speculative Decoding (MTP) Causes </think> Detection Failure in Structured Output + Reasoning Mode
- Refactor oracle to separate support and selection
- Separate TRTLLM and Flashinfer backends
- Add VLLM_SKIP_MODEL_NAME_VALIDATION environment variable
- AI Fix #15647
- [Quant][WIP] Add compressed-tensors MXFP4 support through flashinfer
- [Core] Default to "mp" rather than "uni" distributed executor backend
- [GGUF][Model] Add Qwen3-Coder-Next GGUF support
- [Reasoning] Support for speculative decoding with thinking budget
- Docs
- Python not yet supported