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]: Split top-p pipeline (_topp_sb_*) over-keeps tokens near the boundary, same stall class as #59804
- [Bug]: NIXL pull: one wedged connection repeatedly strands decode KV blocks (production log analysis)
- [Model Runner V2] Optional post-capture warmup of every decode batch size, logits row count and graph size
- [Bugfix] Keep the MiniCPM-V-4.6 vision tower unquantized for GPTQ and AWQ checkpoints
- [Model][MiniMax-M3] Split-KV indexer prefill scoring and sync-free prefill metadata
- [Model][MiniMax-M3] Context-parallel indexer decode scoring across TP ranks
- [XPU][Spec Decode] RecoverSSM: route Qwen GDN through the Triton/FLA core on XPU
- [Spec Decode][Mamba] RecoverSSM: support pipeline parallelism (non-last ranks commit in the deferred PP postprocess)
- [Startup] Add an opt-in FlashInfer MoE search strategy
- [Build] Re-fetch DeepGEMM when the cached checkout is not the pinned commit
- Docs
- Python not yet supported