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
- [Bug]: quantization="mxfp4" produces incorrect results / hangs for MoE models at tensor_parallel_size=1
- [Bugfix] Fix expired entries removal behavior for P2pNcclConnector proxy
- [Bug]: GPT-2 scale_attn_weights config flag is ignored in vLLM
- [Bugfix][Hardware][AMD] Support all MoE activations in WNA16 quantization on ROCm
- [Bug]: Multi-Node inference with PP > 1 crashes after processing completions request with non-None `logprobs` parameter.
- [MoE Refactor] Split of DefaultMoERunner class
- add acceptance_threshold argument
- [DO NOT MERGE][Bugfix] Fix CPU memory leak in multimodal IPC sends
- [Bugfix] Fix MXFP4 weight_loader crash on per-expert 2-D weights
- [Misc] Redo quantized weights loading tracking
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