vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Attention][TurboQuant] Optimize 4-bit GQA decode for group size 4
- [Bugfix] Fix Responses API crash on empty or refusal assistant content
- [Rust Frontend]: Add weight transfer lifecycle APIs
- fix: Domino inference patches for speculators-format checkpoints
- [Core] Add operator opt-out for the expandable_segments KV-connector rejection
- [DCP] Add FlashInfer fused A2A backend for decode context parallelism
- [Perf][ROCm] Enable AITER QuickReduce + RMSNorm fusion
- [CI] Add chat eval mode to GSM8K harness + gpt-oss-20b config
- [Tracking][ROCm][Perf]: DP Attention performance
- [Rust Frontend] Add HTTP access log with disable and endpoint-exclusion flags
- Docs
- Python not yet supported