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
- [Feature] Add per-request attention capture to the OpenAI-compatible API
- RuntimeError: Already borrowed in Hermes tool parser under concurrent load
- [CI Failure]: V1 e2e + engine : Cannot re-initialize CUDA in forked subprocess
- [CI] Remove DBO xfail on Blackwell
- [CI Failure]: Intel HPU Test - examples/offline_inference/basic/generate.py
- [CI Failure]: V1 Others : test_custom_logitsprocs[CustomLogitprocSource.LOGITPROC_SOURCE_ENTRYPOINT]
- [RFC]: Overlap weight loading with torch.compile compilation
- Remove redundant uniform=False in mixed_mode PIECEWISE branch
- [Bug]: Triton Error [CUDA]: out of memory when received query
- Enable Tunable Control for naive_block_assignment
- Docs
- Python not yet supported