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
- [RFC]: Make kernel/op and component tests device-agnostic for OOT plugins
- [kv_offload+HMA][3/N]: Remove block_size from KVEvents
- feat(dcp, flashinfer): support FULL_DECODE_ONLY for flashinfer with DCP>1
- fix mtp launch error in vllm-0.17.1-rc, about cuda graph during memory profile
- [Bug]: Qwen3.5 does not work with pipeline parallelism
- bugfix(dcp, gdn): disabling DCP semantics for linear-attention KV/state groups
- [Build] Fix Dockerfile issues for ppc64le build
- [CI] Add Blackwell DeepSeek MTP acceptance length regression test
- [Performance]: qwen3.5 vs qwen3
- [Bug]: KeyError in get_layers_from_vllm_config with pipeline parallelism (vLLM 0.16.0)
- Docs
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