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
- [Bugfix] Opt out of pinned host memory for shm multimodal decode
- Fa4 fp8 kv dequant integration clean
- [RFC]: StructuredOutputManager x Speculative Decoding Refactor
- [RFC]: Per-request effective proposal lengths for adaptive speculative decoding
- [Bugfix] Fix cumulative Whisper timestamp drift from variable-length audio chunks
- [RFC]: Remove Group Activation Ordering (actorder=group) Support from vLLM and Compression Libraries
- [RFC]: Standardize vLLM Entrypoint Error Handling
- [Bugfix] Presize shared MoE Workspace To Worst-Case Size Before Lock
- [Perf][FA4] Warm up dense (paged) FA4 attention kernels
- [RFC]: GLM-5.x thinking_token_budget defaults and regression tests
- Docs
- Python not yet supported