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
- [Feature] Add GCS support for sharded state loader
- [Bug]: `reasoning_content` silently dropped on incoming assistant messages
- [Model Runner V2] Fuse probabilistic rejection sample kernels
- [Bug][ROCm]: Step3.5 Flash MTP init error
- [Bug]: "stop" parameter will stop the reasoning_content
- fix: pin 1 unpinned action
- fix(v1): Handle max_model_len overflow gracefully instead of crashing
- [Bugfix] Fix Step-3.5-Flash MTP acceptance rate by detecting own shared_head weights
- [ROCm][Quantization] Add asymmetric INT8 quantization support to TritonInt8ScaledMMLinearKernel
- [LoRA] fix MoE expert module name parsing for models with numeric expert indices (Qwen 3.5 MoE)
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- Python not yet supported