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]: GLM 5.2; Garbled output with sequence-parallel MoE on small decode batches (TP+EP+DP)
- [Bugfix] Fix sequence-parallel detection for small decode batches
- [DCP][Performance] Add Shared-DCP peer-addressable decode data paths
- [DCP][Kernel] Add Shared-DCP consumer-direct Top-K
- [Bug]: Sleep mode wake_up crashes EngineCore natively on DGX Spark (GB10, unified memory) — sleep level 1 works, wake kills the engine
- DSpark: num_speculative_tokens < dspark_block_size guard (from #47419) has no corresponding code path — should be a warning
- [CI Failure]: LM Eval Qwen3.5 Models Accuracy issues
- Add timeout enforcement to wait_for_engine_startup
- fix(metrics): add graceful fallback for MultiProcessCollector initialization failure
- [Bug]: Qwen3.5/Qwen3-Next GDN attention crashes at warmup with torch.compile stride mismatch (expected size 3==3, stride 4097==512) — recurrence of #29014 on splitting_ops boundary
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