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
- [Model] Support native Transformers ERNIE 4.5 VL
- [Bug]: PP=2 + GlmMoeDsa: inductor compile combined with CUDA-graph capture produces garbage output; either alone is clean (v0.24 & v0.26)
- [Kernel] ReplaySSM: cache SSM inputs for faster Mamba2 speculative decode
- [CI] Add trusted /ci policy and catalog metadata
- [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
- Docs
- Python not yet supported