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
- [RFC]: Opt-in return of the last hidden state at sampled positions, per request (Model Runner V2)
- [KV Offload] Give each rank its own CPU region outside the replicated layout
- [Performance]: spec-decode CUDA graph throughput deficit on 0.29.0 under gVisor (reproduces off Modal; fixed in 0.30.0)
- [Bug]: Qwen3.6-35B-A3B model with TP 2 and DP 2 returns gibberish output on Intel B70 cards
- [ROCm][Perf] Fuse the MXFP4 activation quant into the GDN gated RMSNorm
- [Bugfix] Drop the dangling NO_ATTENTION backend registration
- [Bugfix][LoRA] Whisper: opt the encoder into tower LoRA
- [Kernel] EFC-style epilogues for the CuTe DSL Lamport TP all-reduce
- [Perf] Batch sampling-mask transport and skip mask re-validation
- [Perf][Kernel][LoRA] Optimize Multi-LoRA kernels for fragmented token distributions
- Docs
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