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
- Bump the minor-update group across 1 directory with 172 updates
- [Frontend] Add prediction token usage details
- [Bug]: Qwen3.5 GDN CUDA kernels promote BF16 Q/K normalization to FP32
- [Platform] Fill in the missing backend parameter for torch.compile
- [Bug]: persistent_topk silently drops top-k candidates when many values share a coarse histogram bin
- [Bugfix] Use FlashInfer auto backend for MXFP4 Linear GEMM instead of hardcoded cute-dsl
- [BugFix][EPLB] Log correct avg/max token counts and balancedness
- [Bug]: [KV-Transfer] Scheduler crashes due to duplicate `recving` completion events in `MultiConnector` across scheduler steps
- [Bugfix][KV Offload] Restore LRU prefix order after transfers
- [Bugfix][V1] Fix silent -inf logprobs when logprob_token_ids shares a batch
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- Python not yet supported