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
- [MRV2][Multimodal] Enable encoder cuda graph for model runner v2
- [Bug] Modular MoE reports zero local experts after a backend releases source weights
- [Doc] Fix stale script references in CI contributor guides
- [Docs] Add SharedStorageConnector->ExampleConnector migration note to disagg prefill docs
- [ROCm][Perf] Add MI250X selective state update tuning
- [ROCm][Perf] Speed up large MoE ReLU-squared on gfx90a
- [Bugfix][MoE] Use backend expert count for workspace sizing
- [XPU] WA topk_sigmoid argument mismatch for XPU platform
- [Bug]: GLM-5.2-NVFP4 produces garbled/incorrect output and hits NotImplementedError in forward_mha on GB10 (SM121a) with FLASHINFER_MLA_SPARSE_SM120
- [Kernel] ReplaySSM: cache SSM inputs for faster Gated DeltaNet speculative decode
- Docs
- Python not yet supported