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] Support DCP for Gemma 4 sliding-window/full-attention hybrids
- [ROCm][Perf] Sparse MLA: build pure-decode indptr on the host and skip the NoPE q copy
- [Model] Plumb swiglu_limit through Cohere2Moe
- [Model][DSV4.1] Support MXFP4-packed Engram embedding tables
- [Bugfix][Spec Decode] Keep DFlash full-attention layers bidirectional for speculators checkpoints
- [Docs] Document NIXL KV connector metrics aggregation semantics
- [Build] Move extras to pyproject.toml and gate precompiled wheels on [build-system]
- [DSv4.1][PCP] Enable fixed DSpark and shared Engram storage
- [PCP] Enable CUDA graphs for DeepSeek-V4.1 with fixed-length DSpark
- [Bugfix][Multiproc] Fail fast on remote worker disconnects
- Docs
- Python not yet supported