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 crashes with "pixel_values contains inconsistent shapes" when concurrent image requests have different resolutions
- [BUGS] vLLM V1 Engine Hangs After Weight Loading on Blackwell (sm_121) Multi-Node Ray Setup (TP=2)
- [RFC] Replace routing replay with CUDA-graph-compatible device cache approach
- [Bug]: SimpleCPUOffloadScheduler crashes with AssertionError: Expected N hit tokens, got 0 (TOCTOU race in update_state_after_alloc)
- [Feature]: Enable automatic trace context propagation for offline inference
- [Feature]: Add validation script and coverage analysis for FusedMoE tuning configs
- [Docs][ROCm] Clarify wrong-wheel causes of failed device detection
- [Bug]: # vLLM v0.19.0 - WorkerProc initialization failed with Tensor Parallelism
- [Bug]: vllm(g0e39202ca) vllm serve: error: argument --limit-mm-per-prompt: Value image=4,audio=1 cannot be converted to <function
- Introduce De-dup/Similarity-Check in CI Workflow for PR/Issue
- Docs
- Python not yet supported