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
- [Installation]: FlashMLA still uses old cutlass 3.9.0
- [Bug]: ldconfig segfaults (SIGSEGV 11) in vllm-openai images, making them unusable for non-root Singularity users
- [Bug]: Qwen3-VL-235B-NVFP4 DP+TP+EP config not working with FlashinferMoE
- [Bug]: vllm/v1/core/sched/scheduler.py: Unintended reordering of requests during scheduling
- [Bug]: `--max-num-seqs` limits total running sequences instead of scheduled sequences, causing severe underutilization in PP
- [Bug]: NVFP4A16 spurious warning that GPU doesn't support Fp4
- [Feature]: GLM4MOE gruff support
- [Feature]: Support nvidia/omnivinci
- [Bug]: Poor logging around assertion error when using PPLX all-to-all backend with microbatching (MoE)
- [Bug]: Qwen2.5 ViT Incorrect QKV Split When projection_size != hidden_size in Tensor Parallelism
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