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
- [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
- [Feature]: It's user unfriendly to panic when there is not enough VRAM to serve at least one request with the max seq len
- [BugFix] Fix shared reference bug in parsers for n>=2 and streaming
- [Bug]: cuda graph takes too much memory for qwen 3.5
- [WIP] Prototype MM batcher interface
- [Bug]: VLLM_CPU_OMP_THREADS_BIND=nobind cannot be used with tp>1 on CPU backends
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