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] Fix hetero TP handshake assertion for GQA-replicated KV heads
- [Doc] Clarify prompt embeds token IDs in offline example
- [Frontend] Replace xgrammar's built-in structural tag with vLLM's implementation
- [Feat] Support FlashQLA backend for qwen3.5
- [XPU][MiniMax-M3] Add XPU support for MSA sparse-attention path + tune gemma_rmsnorm for BMG
- [Bugfix] Fix CPU split-KV scratchpad sizing
- [Performance]: TTFT of graph mode is about 25% worse than that of eager mode.
- [Misc] Support exporting torch profiler table as CSV or JSON
- [ROCm][DSv4] Add AITER MXFP4-MXFP8 W4A8 MoE backend
- [Misc] Add pure decode throughput to `vllm bench serve` results
- Docs
- Python not yet supported