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
- [Bug][Anthropic] /v1/messages canonicalizes model aliases, causing Claude Code to strip thinking blocks during tool-use loops
- [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
- [Quantization][Autoround][XPU] Support AutoRound MXFP8 MoE models
- [Docker] Cache test dependencies before vLLM install
- [Core] Configure custom encoder cache managers from VllmConfig
- [Rust Frontend][gRPC] Add explicit data-parallel rank routing
- Step3p5ReasoningParser strips the wrong newline
- feat: optimize MHC post + HC head + RMSNorm fusions for DeepSeek V4
- [Model] Add EVS video pruning support for Cosmos3-Edge
- Docs
- Python not yet supported