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
- [WIP][Benchmarking] Benchmarking script for v1 attention backends
- [Misc] Add LMCache async save support
- [ROCm] Upgrade aiter version
- [Core] Support sleep mode for cuda graph
- [Misc] Harden `SamplingParams.from_optional` support
- [Tracking Issue]: Prefix Caching for Hybrid Models
- [Refactor][MLA]: Lift prefill/decode split into compiled region
- [Performance]: non-optimal performance of `linear` for small batches
- [BugFix] Propagate prefix to backend
- [Performance][torch.compile]: Inductor partition performance issues
- Docs
- Python not yet supported