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
- [ROCm][Perf][Kimi-K3] Specialized decode: verify steps of 17-32 rows
- [Bug]: v0.25.0 picks FlashInfer mnnvl allreduce when multicast bind fails, then crashes with illegal memory access (2x H100)
- [Perf][Multimodal] Use FA4 for long-sequence ViT attention on Hopper
- [Bugfix] Re-probe the tier for new requests instead of reusing a cached miss in tiering AsyncLookupManager
- [XPU][Quantization] Support asymmetric (sym=false) GPTQ int4 linear layers on XPU
- [Bugfix] Reject prompts that cannot be scheduled without chunked prefill
- [Bugfix] Apply the missing prefill decay step in lightning attention
- [Bugfix][Model] Preserve MiDashengLM's untied decoder default
- [Core][Scheduler] Context-aware long prefill chunking
- [Feature][DSv4.1][NIXL] Enable PCP Prefill with NIXL P/D
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