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
- [CI][Docs] Fix decode/prefill consistency test prefix construction; add GLM-4-9B and Phi-4 to batch-invariant tested models
- [Core][Feat] Pluggable KVCacheConfigBuilder for platform/model-specific KV cache planning
- [8/N][warmup][DSv4] Migrate MoE execution and distributed kernels
- [7/N][KV Connector][NIXL] Stage host KV reads through device memory
- [Bugfix] Avoid eager torch.compile in Kimi K2.5 vision helper
- [Bugfix][Kernels] Guard DeepGEMM in mhc_pre_broadcast_tilelang with a torch fallback
- [Bugfix][KV Offload] Fix shared-region ownership and startup cleanup
- [Bugfix] Align CPU offload pool size across PP/spec-decode workers
- [Mamba] Add FlashInfer ReplaySSM support for MTP
- [EPLB] Add contention-aware expert migration batching
- Docs
- Python not yet supported