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] MiniMax-M3: structured output silently ignored with thinking enabled (scheduler reasoning-end gate never fires)
- [Rocm] Fix AITER_MLA issues for the kimik3-dspark model with Agentic workload
- Add /dev/shm size calculator for tensor parallel deployment
- [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)
- [Bug]: Prefix caching is ineffective on Mamba-2/GDN hybrid (Qwen3_5MoeForConditionalGeneration)
- [Bug]: `MiniMAXGemmaRMSNorm` unconditionally calls FlashInfer CUDA kernels, breaking MiniMax-M3 on every non-CUDA platform
- feat: optimize MHC post + HC head + RMSNorm fusions for DeepSeek V4
- [Model] Add EVS video pruning support for Cosmos3-Edge
- Add feature to support deepseek v4 flash on sm75 turing (2080ti)
- Docs
- Python not yet supported