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
- [Feature]: Restore length-based speculation skip (speculative max_model_len) or per-request speculative decoding control in V1
- [Kimi-K3] Support DCP partial prefix cache hit
- [Kimi-K3] Hybrid CPU-offload block accounting under DCP
- [Kimi-K3] Hybrid-aware KV load failure recompute
- [Kimi-K3] DSpark under DCP
- [Mooncake] Support DCP with hybrid attention
- [Mooncake] Revalidate exact partial-hash hit boundaries
- [Mooncake] Guards on the partial-hash hit retry
- [Bugfix] Preserve SWA replay windows after EAGLE tail pop
- [Bugfix] Add opt-out for synchronized FlashInfer autotune (multi-node deadlock without GPUDirect RDMA)
- Docs
- Python not yet supported