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
- [ROCm][CI] Fix failing ROCm quick reduce test
- [Bugfix] Do not re-apply q/k/v scales on FlashInfer TRTLLM BF16-Q paths
- [Bugfix] Support non-gated MoE in online quantization and Marlin MoE tile padding
- VLLM_ENGINE_READY_TIMEOUT_S default (600s) insufficient for large MoE + cold FlashInfer JIT cache on new GPU archs (GB10 / sm_121a)
- [RFC]: PyTorch vLLM correctness audit
- [Bugfix] test_batch_inference_correctness now uses batch invariance
- [DSv4] Remove sparse-MLA q-head padding for FlashInfer >=0.6.14
- [Bug]: DeepSeek-V4 sparse-SWA decode passes flashinfer 0.6.14-only kwargs, but the pin is 0.6.13
- [Bug][XPU] compressed-tensors FP8 W8A8 (dynamic) generates garbage output on Intel Arc Pro B70 (Battlemage)
- [Bug][XPU] Mamba align-mode prefix caching crashes: "Overflow when unpacking long long" storing state.data_ptr()
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