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]: V1 engine prefix caching was causing non-deterministic outputs during greedy decoding T=0
- [Bug]: Gemma4 tool-call-parser produces <pad> tokens under concurrent requests
- [ROCm] Fix AssertionError in ActivationQuantFusionPass when torch.compile is used on ROCm
- fix: Disable VLLM_ROCM_USE_AITER_FP4BMM by default to prevent crashes on MI300X
- [Model] Gemma4: robust quantized MoE expert weight loading
- [Usage]: qwen3-asr-1.7b pre-allocated encoder cache size limit
- [V1] Async parallel startup for EngineCore processes in DP/TP scenarios
- [CPU] Fix AttributeError when loading GeluAndMul and similar activations
- [Responses API] Fix truncation: auto returning 400 instead of truncating
- fix: Add SWIGLUSTEP activation support for ROCm AITER MoE
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