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
- [Feature] Chi-squared and perplexity watermarking
- [KV Offload] Check /dev/shm for every local DP engine; explain EFAULT
- [Perf] Fuse GLM-5.x MoE finalize into the next RMSNorm's all-reduce
- [Bugfix][KV Connector] Handle load failures after preemption
- [Bugfix][KV Connector] MoRIIO: treat FINISHED_STOPPED as producer decode completion
- [Feature][Whisper] Support srt and vtt response formats for speech-to-text APIs
- [Feature][Quantization] Add online Hadamard rotations before RMSNorm
- [Bugfix][NIXL] Keep push progress off model thread
- [KV Transfer] Connector-agnostic KV checksums for P/D disaggregation
- [ROCm][AITER] Enable AITER by default on CDNA3+, keep AMD CI on the non-AITER path
- Docs
- Python not yet supported