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][V1] Handle shutdown during collective RPC
- [Bug]: SpecDecodingStats.num_drafts counts requests whose drafts were all invalidated
- [Bug]: Qwen3-ASR audio preprocessing produces different audio-token counts from Hugging Face
- [Spec Decode][Model] Support DFlash2 draft models with GLM-5.3-Flash
- [Feature] Per-row candidate IDs for prefill token scoring (M2 of #56860)
- [Performance][ROCm][gfx1100] compressed-tensors silently enables fp8 KV cache, which is far slower than bf16 for paged decode attention on RDNA3
- [Perf][Attention] Source Triton metadata builder geometry from kv_cache_spec
- [MoE] Allow a fused-MoE kernel to be rebuilt around resident weights
- [Core][Model Loader] Add sleep/wake/reload lifecycle hooks to model loader
- [ROCm][Perf] W4A16: widen skinny GEMM LDS activation loads to b128
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