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]: min_tokens keeps EOS masked on the bonus token under speculative decoding (V1 runner), changes greedy output
- [Bug]: CPU backend: C++ rejection_random_sample kernel accepts -1 placeholder drafts, so structured-output requests can sample from an unmasked row
- [Perf][Attention] Cache FlashAttention KV cache transpose+split views
- [Core] Expose prefix reuse policy in KV cache group metadata
- [Bug]: CPU without Triton: slot-mapping fallback has a stale signature after #57169, V1 inference fails on the first forward step
- [Perf][Distributed] Skip movedim+reshape for dim=0 in CudaCommunicator all_gather
- [Bugfix] DeepSeek-V4.1 parser: tolerate drifted DSML tool-call openers
- [Bug][ROCm][MoRIIO] On MI300X (SR-IOV VF), READ mode over XGMI crashes the decode with a GPU memory access fault on its first request
- [Bug]: PIECEWISE CUDA graphs give wrong outputs when vllm::moe_forward is in splitting_ops (fresh output tensor, stale replay address)
- [Bug]: Anthropic Messages silently drops unsupported system content blocks
- Docs
- Python not yet supported