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] Use fastokens for tiktoken models
- [Bug]: `SWIGLUOAI_UNINTERLEAVE requires clamp_limit` crash for compressed-tensors W4A4 MXFP4 MoE (blocks MiniMax-M3 MXFP4)
- [Bugfix] Forward SwiGLU clamp/alpha/beta in compressed-tensors W4A4 MXFP4 MoE
- [Benchmark] Add a timeout per socket without cancelling the full run
- [Bugfix][Kernel] Handle kernel block sizes in V2 DCP slot mapping
- [BugFix] Defer API-server port binding for the Rust front-end and Ray DP; retire defer_api_server_ports
- feat: add SSE keep-alive comments for idle streaming responses
- [Bug]: DeepSeek-V4 sparse-decode MLA kernel wedges in a spin loop with no timeout and no diagnostic (device-level capture on sm_103; surfaces 300 s later as an unrelated DeepGEMM assert)
- [Frontend] Support repetition_detection as a server-side default
- [Feature][Model] Support stable-window-aware KV reuse for Qwen3-ASR realtime
- Docs
- Python not yet supported