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
- [codex] Optimize FP8 group 128 quantization for Hopper
- [ROCm] [MoE] [Perf] Shared-expert fusion for bias-routed MoE; enable on MiniMax-M3 mxfp8 model
- [Bugfix] Transformers backend: recompute `mm_token_type_ids` per request for M-RoPE
- [ROCm][Perf] ROCM_ATTN selected over ROCM_AITER_FA for MHA decode despite VLLM_ROCM_USE_AITER=1 (CDNA)
- [ROCm][Perf] Prefer ROCM_AITER_FA over ROCM_ATTN when AITER MHA is enabled
- Add TorchCodec as a video decoding backend
- [Core] Per-worker disk tier + LRU write-back for symmetric multi-node KV cache
- [Model] Add LongCat-Next multimodal model support
- [Model] Support Unlimited OCR
- [KV Connector] Multi-view NIXL connector
- Docs
- Python not yet supported