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][SM120][MLA] Disable dense prefill for FlashInfer sparse MLA
- [Bug]: cpu_offload_gb silently no-ops on Model Runner V2 — offloader never installed, model loads fully on-GPU with no warning
- [Bug]: Kimi K3 tool parser streams the raw <|close|>message<|sep|> marker into content
- [Bug]: VLLM silently ignores falsey yaml configuration options
- [BugFix] Bind fault-tolerance DP ports before publishing them
- [Bug]: Inkling (InklingForConditionalGeneration) fails on SM120 — tml_fa4 attention lacks paged-KV support
- [ROCm] Enable fused QK-norm+RoPE+gate Triton kernel for Qwen3-Next/Qwen3.5
- Add MoE output contract for MoE tail fusion
- [Core][KVConnector] Connector "ready" state for asynchronous connector startup
- [Bugfix][Quantization] Fix fp32 weight scale for mxfp4 quantization and per-expert checkpoint mapping
- Docs
- Python not yet supported