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
- [WIP][Core] Update PyTorch to 2.12.0, torchvision to 0.27.0, triton to 3.7.0
- [Frontend][Core] Add sparse NCCL weight transfer support for in-place updates
- Use get_vocab() instead of encode() for single-token lookups
- Support TurboQuant for YOCO + sliding-window models (e.g., Gemma 4 E4B)
- [MoE] [MXFP4] refactor compressed tensor w4a4 mxfp4 moe
- [ROCm] torch 2.11 + rocclr profiler hotfix for ROCm 7.2 + aiter v0.1.12.post2
- fix(docker): add SM103a (GB300) to DeepEP CUDA arch list
- Integrate flashinfer b12x MoE and FP4 GEMM kernels for SM120/121
- [Attention] Add SM120 attention sink support via flashinfer fmha_v2
- Added vLLM support for BitNet b1.58 2B4T
- Docs
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