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]: DiffusionGemma: tensor shape mismatch in post_norm under concurrent decode (inputs_embeds vs silently-clamped sc_embeds)
- [XPU Unify device visibility handling for XPU and align device ID selection
- [Bugfix][KV Offload] Reset SimpleCPU eager-store placement state on MRV2 resume
- [Bugfix] Fix local-only elastic EP scale-up actor selection
- [Bugfix][MoE] Respect padded row strides in top-k routing
- [Bug]: minimax_m2 / glm47_moe / deepseek_v4 arg converters drop the last parameter when the model omits the closing tag (same class as #57699)
- [Bug]: minimax_m2 / glm47_moe / deepseek_v4 arg converters drop the last parameter when the model omits the closing tag (same class as #57699)
- [Feature]: [WideEP][CPU]: Add a CPU-only Wide Expert Parallelism well-lit path
- [Bugfix][DSV4.1] Warm DeepGEMM mHC projection specializations
- [Bugfix] Prevent stale collective RPC response reuse
- Docs
- Python not yet supported