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
- [Quantization] Share online weight scales across TP
- [RFC]: Native Disaggregated Pull-Based Queue Worker Interface and Heuristic Pull Router
- [Bugfix][Structured Output] Stage V2 grammar bitmask copies through preallocated pinned buffers
- [Bug]: DeepGEMM 2.6.x UE8M0 assert - vLLM passes uninitialized FP32 scale-factor padding to the packing kernel
- [Model][NVIDIA] Route DSA models to the SM100 implementation
- [Kernel] Extend CuTe DSL skinny GEMM to GLM-5.2
- [Kernel][SM100] Add a CuTeDSL fused query kernel
- [Spec Decode][Perf] Optimize MTP draft decoding
- fix(mooncake): reject duplicate transfer_id to prevent KV-cache leak
- feat(parser): add xLAM tool parser to Rust frontend
- Docs
- Python not yet supported