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]: model runner v2 support prefill context parallelism & cp8+tp8=worldsize8
- returninig the lse across node in flasmla_sparse
- [wip] vllm support ec_manager
- [CI/Build] [Docker] Add missing fastokens dependency
- [Bugfix] Fix NaNs in LoRA expand with mixed dtypes
- Fix video temporal padding token estimates
- [Feature]: Priority scheduling is not reflected in KV/prefix cache retention under cache pressure
- [RFC]: Precise group-aware recovery for KV load failures on hybrid models
- [Bugfix][Spec Decode] Always share target embeddings for MTP drafts (#47794)
- fix(security): harden P2P KV-offload against client-supplied peer add…
- Docs
- Python not yet supported