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][NVFP4 MoE] Pad gated intermediate for FlashInfer/CUTLASS
- [Perf][Attention] FlashInfer: plan without copying seq_lens from the GPU
- Fix Kimi K3 truncated non-streaming reasoning
- [CI] Relax sharded-sampling divergence bound on ROCm
- [Test][Reasoning] kimi_k3: regression tests for non-stream truncation and response-opener parse
- [CI Failure]: Recurring flaky infrastructure failures — AMD GPU hangs, H200-MIG step timeouts, agent loss (200-build analysis)
- [RFC]: Asymmetric P/D Deployment for DeepSeek-V4.1 Flash
- [Model] Add BerryLM (hybrid KDA / full attention MoE with Gated Block AttnRes)
- [Model] Use upstream GLM-5.3 and Qwen4-Exp configs and processor
- [Bugfix][MLA] Fix SM120 sparse-MLA prefill IMA with DSpark speculative decoding (#56771)
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- Python not yet supported