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
- Revert "[Bugfix] Fix DeepGemm E8M0 accuracy degradation for Qwen3.5 FP8 on Blackwell" (#38083)
- [Bugfix]Fix incorrect KV cache log output
- [torch.compile]: Disable Sequence Parallelism (SP) for piecewise compilation
- [Transformers v5] Base model and LoRA used in test has incorrect `tokenizer_config.json`
- [BugFix]: use base address for zero-token experts in CUTLASS grouped GEMM to avoid over by 1
- [AMD][CI] Update DeepEP branch
- [WIP][Model Runner V2] Implement flash sampling for the draft model
- [Transformers v5] InternVL2
- [metrics] expose num_skipped_waiting_reqs to distinguish constraint-blocked waiting requests
- [Feature]: Replace vanilla MaxSim with flash-maxsim for late-interaction scoring
- Docs
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