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
- [Bugfix] Handle broken optional boto3 imports
- [Bugfix][Spec Decode] DFlash/DSpark no longer drop the last prefix-cache block (mamba align context recompute)
- [Bugfix][Spec Decode] Restore hybrid mamba align cache hits under spec decode with a KV connector (related to #53505)
- [Bug]: Video pruning crashes during inference on Qwen3.5 9B AWQ with `AttributeError: video_pruning_method` on v0.27.1
- [Kernel][GDN] Tune packed decode launch on SM120
- [Kernel][FP8] Tune Qwen3.5 GDN GEMM on H20 and SM120
- [Metrics] Export KV cache capacity in bytes
- [Bug]: Engine liveness monitor can SIGTERM a healthy EngineCore after spurious sentinel readiness
- [Frontend] Propagate reasoning effort to reasoning_strength for Muse Glimmer
- [Attention] Derive Triton split-KV decode threshold from the KV cache group's head count
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- Python not yet supported