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
- [Perf][DSA] Shard the decode indexer rows across TP ranks
- [RFC]: KV Context Editing — Relaxed Prefix Alignment for KV Allocation and Reuse
- [Security] Reject unresolved paths in Kimi vision loading
- [ROCm][DSv4.1][Perf] Use the shared prefill chunk plan in the ROCm sparse prefill
- [MoE] DeepSeek-V4: add Hopper (SM90) FP8 FlashInfer moe_ep mega backend
- [Perf][PP] Skip sampled-token broadcasts whose requests leave the engine
- [Feature]: [Helm] Add configurable startupProbe for slow model initialization
- [Perf][MoE] Tile pack_bitmatrix by 32 rows instead of 512
- [ROCm][Perf] Fix Gemma AR+RMS prefill fallback
- [Bugfix][Frontend] Respect max_output_tokens in the Harmony tool-call loop
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- Python not yet supported