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
- [Bugfix][Rust Frontend] Prevent stalled engines from delaying auto-aborts
- [Perf][Scheduler] Remove redundant pad_spec_decode guard (fix #55798)
- [RFC]: Eager-mode Sequence Parallelism (SP) with Collective+GEMM Overlap (Async-TP)
- [Bugfix][Gemma4] Accept legacy ModelOpt per-expert weight names
- [Feature]: Support logprobs / top_logprobs for gpt-oss (Harmony) models in /v1/responses
- [Feature]: Gated contributor PRs show as failed checks, and offloader paths have no CODEOWNERS
- [Bug]: Olmo3 tool parser (non-streaming) drops the tool call when a string argument contains "</function_calls>"
- [Bugfix][Tool Parser] Olmo3: don't cut at </function_calls> inside a string argument
- [ROCm][Bugfix] Use the kernel's K in the preshuffled MXFP4 GEMM tuned probe
- [KV Connector][NIXL] Poll transfer completion on a background thread
- Docs
- Python not yet supported