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]: flashinfer_b12x MoE broken after PR #43328: "num_tokens exceeds max_num_tokens" with dp_size>1 and OOM in B12xMoEWrapper buffer allocation
- [Bug] MiniMax-M3 tool-call parser buffers arguments — no incremental streaming
- [Bugfix] Fix corrupted output with FlashInfer + decode context parallelism
- [Bug]: VLLM concurrent requests: the last request does not return
- [Doc] Design docs link to deleted files via permalinks pinned to Nov 2024 commits
- [Bugfix] Exclude DSpark draft KV-cache group from OffloadingConnector lookup poisoning
- [Bug]: xlam and hunyuan_a13b tool parsers drop the arguments of any tool call that follows an empty-argument call (streaming)
- [Bug]: A tool call truncated by max_tokens diverges between streaming and non-streaming, and leaks raw <tool_call> markup into content (non-streaming)
- [Bugfix] Fix Gemma4 engine parser returning bare values as strings
- [Bug]: DFlash/DSpark draft acceptance collapses with automatic prefix caching enabled
- Docs
- Python not yet supported