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][Perf] prefix_prefill: run mixed batches on all XCDs and skip empty query blocks
- [Bug]: `cudagraph_mode=FULL` + FA3 split-KV returns wrong logits: the combine kernel's tile scheduler is chosen from the capture-time dummy batch
- [Docs] Clarify MCP label filtering and Python tool availability
- [XPU][LoRA] Support MXFP4 MoE LoRA via XpuFusedMoe hooks
- [ROCm][Perf][GLM-5.3-Flash] MonoKernel: read and write the mxfp4_mla KV cache
- [XPU][CI] Re-enable `test_reset_prefix_cache_e2e` and `test_scheduler_e2e` on XPU
- [Bugfix] Avoid mutating shared config class model_type across aliases
- [Spec Decode] Add opt-in budgeted ASD verification for MRV2
- [Bug][ROCm] `ROCM_ATTN` returns wrong attention (and can fault the GPU) on RDNA for head size ≥ 96 with KV block size ≠ 16, and for MHA with head size 192/256
- [Bug]: DiffusionGemma prefills image tokens causally, although its config asks for bidirectional attention over them
- Docs
- Python not yet supported