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] Import each packed IPC export once on the consumer side
- Revert "[MM][CG] Support ViT full CUDA graph for Ernie-4.5-VL image inference" (#45254)
- [Bug][Anthropic] /v1/messages canonicalizes model aliases, causing Claude Code to strip thinking blocks during tool-use loops
- [Bug]: --enable-prefix-caching is a silent 0%-hit no-op on Mamba-2/GDN hybrids (Qwen3_5MoeForConditionalGeneration)
- [Bugfix][MiniMax-M3] Keep FP8 query allocation stable across CUDA graph replay
- [ModelRunner V2] Minor indexing optimizations
- [Bug]: Prefix caching is ineffective on Mamba-2/GDN hybrid (Qwen3_5MoeForConditionalGeneration)
- [Bugfix][DeepSeek V4] Handle trailing system messages in prompt rendering
- [Refactor] sp refactor
- [Bug]: `MiniMAXGemmaRMSNorm` unconditionally calls FlashInfer CUDA kernels, breaking MiniMax-M3 on every non-CUDA platform
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