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]: deadlock / hang with GLM-5.2-FP8 EP+DP on GB200 - with ablation table
- [Kernel][Core][PCP][KV Update] Replace PCP update collectives with direct peer stores
- [Bugfix] Honor per-request StructuredOutputsParams.disable_any_whitespace
- [Bugfix][Quantization] Keep unquantized routed experts unquantized under AutoGPTQ
- [Bugfix][MM] Profile the multimodal embedding merge during memory profiling
- [Doc][Core] Clarify FlashInfer spec-decode PIECEWISE cudagraph downgrade warning
- [Models][Quantization] Qwen3.5 MTP: honor checkpoint per-layer quantization config for draft layers
- [Feature] implement return indexer topk of sparse attention
- [Bugfix][NIXL] Mark transfer as failed when check_xfer_state() raises
- [Bugfix][Tool Parser] Preserve whitespace in Step3 parameter values
- Docs
- Python not yet supported