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
- [torch.compile] Move torch.Size producers to consumer subgraph in split_graph
- refactor: unify duplicated flashinfer utility modules
- [Bug]: Server hangs indefinitely during inference with Qwen3.5-27B-FP8 (vLLM nightly)
- [Bug]: Qwen3.5 NVFP4 models crash on ARM64 GB10 DGX Spark (CUDA illegal instruction during generation)
- feat: batch-aware expert pruning (XShare) for MoE models
- Yejin/bench ramp fix v2
- [Model Runner V2] Use pre-allocated tensors
- Replace bare Exception with specific exception types (v1, entrypoints)
- [Bugfix] Fix CompressedTensors MoE g_idx registration when actorder is null
- [Bugfix] Fix tool call arguments parsed as content/reasoning in harmony streaming
- Docs
- Python not yet supported