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] Bound accepted-token state lookups in GDN/KDA spec decode
- benchmarks: add speculative decoding analysis script
- [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
- [Doc] Fix stale script references in CI contributor guides
- [ROCm][Perf] Add MI250X selective state update tuning
- [ROCm][Perf] Speed up large MoE ReLU-squared on gfx90a
- [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