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]: Qwen3.5 GDN CUDA kernels promote BF16 Q/K normalization to FP32
- [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
- [Bug]: [KV-Transfer] Scheduler crashes due to duplicate `recving` completion events in `MultiConnector` across scheduler steps
- [Bugfix][V1] Fix silent -inf logprobs when logprob_token_ids shares a batch
- [Performance][EPLB] Skip unchanged layers in async transfer cycles
- [weight loader] add dtype equality validation between parameter and weight
- [Bug]: DeepSeek-V4-Flash-0731 shows severe 1M KV concurrency regression on B300 (27.08x preview vs 7.73x 0731 + DSpark)
- [Quark] Remove quark-specific silent online quantization
- [Bug]: step3p5 parser bypasses XML parsing for named/required tool_choice
- Docs
- Python not yet supported