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]: Gemma4 multimodal: missing vision-aware bidirectional attention mask for use_bidirectional_attention="vision" models
- [CI Failure]: Plugin Tests (2 GPUs)
- [CI Failure]: Multi-Modal Processor (CPU)
- [Bug]: CUDA graph replay triggers Xid 13 illegal memory access on Qwen3-32B-AWQ with TP=2 on dual RTX 3090
- [Bug]: vllm/vllm-openai:nightly-18013df6ae27c3fb941307c46c975227126d641f Missing pandas package
- [Bug]: forced tool_choice asserts when reasoning extraction returns content=None
- fix(openai): tolerate empty content in forced tool choice
- [Feature]: Speculative Decoding using draft_model does not use draft_probs
- [Bug]: GPT-OSS-20B on RTX PRO 6000 (SM120) falls back to TRITON_ATTN + Marlin; forcing FLASHINFER fails with sink setting not supported
- [Feature]: Support logging the complete request prompt and model output to the log for easier debugging.
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