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
- [Spec Decode] Enable adaptive DSpark verification for Qwen GDN
- [Bug]: VLLM_PLE_CPU_OFFLOAD deadlocks at kernel warmup on single GPU (TP=1) - Qwen3.8-Flash-Next on GB10/sm_121
- GLM-5.3-Flash (glm5_next): no SM120 sparse-MLA path for rope-free MLA (qk_rope_head_dim=0) — three failure modes on RTX PRO 6000
- [Bug]: _compute_slot_mapping_kernel reads block_table out of bounds for cache groups whose block table is narrower than the sequence
- [Bug]: [dspark] Adaptive verification profiles a batch shape the scheduler cannot produce
- [Quantization][Autoround][XPU] Add MXFP4 Hadamard rotation support
- [Bug]: GLM-5.3-Flash on ROCm (gfx950): SparseAttnIndexerKpool.forward_hip() missing gate_score — platform guard hides a fixable gap
- [8/N] HiSparse: add DeepSeek V4 support
- [Performance] vLLM warmup does not cover C128A extra_topk=384 on SM120 sparse-MLA decode, causing SparseMlaDecodeV3Runner tactic=-1 fallback
- [MRv2][Bugfix] Initialize DCP metadata
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