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
- [Config] Add field validators for attention, KV/EC transfer, and KV events configs
- feat: support to OpenMOSS-Team
- [Kernel] Use FlashInfer CUDA BGMV MoE Kernel for Multi-LoRA MoE dispatch
- Kenn/rusty
- [Kernel] Fuse align and sort for small-batch many-expert routing
- [Performance]: FlashInfer AR+RMSNorm fusion cap is ~2x too high on multimem NVLink Hopper (TP8): it displaces the faster multimem all-reduce in the 256KB-512KB band
- [Perf] Gate AR+RMSNorm fusion cap on the active fast all-reduce threshold
- [Bug]: v0.22.0 fails to load nvidia/Qwen3.6-35B-A3B-NVFP4: lm_head.input_scale not registered
- Revert "[Bugfix] Fix RMSNorm kernels to multiply in weight's native dtype" (#42379)
- [Model][WIP] Add MiniCPM-SALA (hybrid sparse attention + Simple GLA linear attention)
- Docs
- Python not yet supported