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][MoE] Preserve unquantized weight storage on ROCm
- [KV Offloading] Detect and clean up stalled transfer jobs
- [Bugfix][V1] Release in-process LLM resources on deletion
- [Feature] NVFP4 dispatch for fused RoPE quantization
- [Bugfix][Model] Fix crash loading Mamba/Mamba2 checkpoints without an `architectures` field
- feat: model-agnostic reasoning content detection to prevent per-model parser proliferation
- [Misc] Add unit test for l2norm_fwd_kernel1 and l2norm_fwd_kernel2
- [Bug]: AMD MI350X/MI355X Kimi K2.5 MXFP4 decode ITL regression v0.18 → v0.19+ (distinct from #43153)
- [KV Offloading] Add metric label and tiering plumbing support
- [Kernel][XPU] Use Triton tensor descriptor for output store in lightning attention
- Docs
- Python not yet supported