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]: sm110: torch.AcceleratorError: CUDA error: an illegal instruction was encountered
- [Bug]: v0.17.0-aarch64 onwards will run out of CUDA memory for gpt-oss-120b on GH200 144GB
- [Bugfix] Fix Responses API harmony streaming: token splitting, missing done events, nested sequence_number
- [Feature]: Expose stable request completion hook in streaming serving paths
- [Model] Support Qwen1 use_logn_attn and use_dynamic_ntk
- [RFC]: Opt-in Media URL Cache for `MediaConnector`
- [Core] Use contiguous arrays for request token histories
- [Bugfix] Fix crash when using PP in multi-node (Issue #37001)
- [Bugfix] Add Qwen3.5 MoE support to benchmark_moe.py
- [Bugfix] Fix harmony parser crash on terminal tokens after end-of-message
- Docs
- Python not yet supported