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
- [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
- [Model Runner v2] Oracle for model runner v2 - dense model by default [1/N]
- [CPU] Fix AttributeError when loading GeluAndMul and similar activations
- [Bug]: Qwen3.5-9B-AWQ on ROCm/vLLM 0.19.0 can get stuck generating endless "!" inside JSON schema output
- [Bug]: 0.19.0 rocm+7900xtx: Failed to infer device type
- [Doc] Switch K8S examples to default MP mode
- [Responses API] Fix truncation: auto returning 400 instead of truncating
- [Bugfix] Align block table for TRTLLM MLA edge-case
- Docs
- Python not yet supported