vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [WIP][Perf] Tune small-M batch-invariant GEMMs on Hopper
- [Bugfix][LoRA] Reject adapters whose weights match no LoRA module
- [ROCm][Attention] Support multimodal Prefix-LM in ROCM_ATTN
- [ROCm][Perf] Call aiter.paged_mqa_logits for the sparse indexer decode logits
- [Bugfix][DSv4.1] Preserve exact P/D replay endpoints (stacked on #59197)
- [Bugfix][MRV2] Preserve dummy tokens across PIECEWISE padding
- [CPU] Support FP16 in the GDN attention kernels
- [refactor][model] Kimi-K3 DSpark MLA common base class
- [Bugfix][Kernel] Share FlashInfer b12x MoE workspaces across layers
- perf: persist FlashInfer multi-CTA-KV counter buffer in sparse MLA
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- Python not yet supported