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]: How to make vLLM support multi stream torch compile and each stream capture cuda graph.
- [Bug]: vllm run-batch exhausts system memory on VM with big batch job
- [Bug]: NIXL PD disaggregate with host_buffer has accuracy issue - Prefill scheduled num_block mismatch at update_state_after_alloc and request_finished
- [Bug]: [TPU] ShapeDtypeStruct error when loading custom safetensors checkpoint on TPU v5litepod
- [Bug]: Incorrect dimension movement in reduce_scatter (first movedim(0, dim) should be movedim(dim, 0))
- [Bug]: EngineCore crashes testing v1/embeddings
- [Bug]: scheduler issue with PD disaggregation
- [Bug] DCP/DBO: 'NoneType' error building attention_metadata during DeepSeek-V3.1 deployment dummy run
- [RFC] DBO fallout tracking metrics
- Add back support of tokenizer_mode == custom
- Docs
- Python not yet supported