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
- [Build] Add SM121 (DGX Spark / GB10) to published build targets
- [MoE] Filter FP8/MXFP4 MoE backend candidates by platform
- feat(serving): DNS-AID SVCB endpoint registration
- [Frontend] Skip stop in reasoning content
- [Minimax-M2.5] Use bfloat16 gate linear
- [PERF] Extend NCCL symmetric memory to AllGather and ReduceScatter
- [ROCm] Skip encoder cache profiling on consumer RDNA GPUs
- [WIP] Add TRITON_MLA_SPARSE backend for SM80 sparse MLA support
- [Attention Backend] TurboQuant: 2-bit KV cache compression with 4x capacity
- [New Model]: add support for telechat3
- Docs
- Python not yet supported