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
- [Performance]: Qwen3.6-35B-A3B-FP8 on RTX PRO 6000 Blackwell has very low decode throughput; missing FP8 MoE config for E=256,N=256
- [Model][Test] Add Qwen3.6 (dense + MoE) to multimodal ViT CUDA graph support
- [Bugfix] Normalize non-standard message roles from Claude Code CLI >= 2.1.154
- [NVFP4][Emulation] Fuse NVFP4 weight dequantization with compute in triton kernel for w13/w2 MOE MLP linears
- fix(scheduler): eager KV cache prefetch for waiting queue requests
- Fix memory pointer overflow in Mamba state buffers
- Fix RMS quant fusion for mixed dtype fused add RMSNorm
- [Core] DBO ++: Overlap TP all-reduce with compute
- Fix #44676: Treat <tool_call> as implicit reasoning end in ThinkingBudgetStateHolder
- [Bug]: External DP Load Balancing plus DeepGEMM MegaMoE
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