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]: Support `Phi4Flash` model in V1
- [Performance]: ROPE + KV-Cache-Write + pre-attn prepare-ops fusion
- [Bug]: type object 'GroupShape' has no attribute '__origin__' when trying to use with torch.compile
- [Bug]: VLLM V1 Engine crashes with KeyError when processing concurrent embedding requests
- [Bug]: Inductor fails to fuse pointwise ops with sequence parallelism + async TP
- Alternative way to obtain GPU inventory. // .buildkite/test-amd.yaml:L589
- [New Model]: https://github.com/facebookresearch/omnilingual-asr
- [Frontend] Support for direct url passing to opencv for video
- fix video frame check error
- [Feature]: Default eplb num_redundant_experts to the lowest valid value if unspecified
- Docs
- Python not yet supported