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
- [Model][Frontend] Adding timeseries modality support and Qwen2.5-ChatTS model support
- [Kernel] Integrate CUTLASS MoE kernel with PPLX
- Automatically bind CPU OMP Threads of a rank to CPU ids of a NUMA node.
- [v1] Hybrid Memory Allocator
- [Feature][CLI] Unify configuration for structured outputs via `--structured-outputs-config`
- [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass
- [Kernel] Adding basic Triton JitCache for triton_attn
- [Usage] Qwen3 Usage Guide
- [New Model]: Multimodal Embedding Model GME.
- [MISC][Bugfix] Use less CPU when message queue has been empty for some time
- Docs
- Python not yet supported