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
- Avoid AITER FP8 BMM for MLA K projection
- [Spec Decode] Test extract_hidden_states on NemotronH hybrid models
- [Bugfix] Improve context-parallel backend error guidance
- [Build] Gate cooperative top-k on CUDA 13
- [ROCm] Reduce AITER MLA FP8 BMM warmup sizes
- [Bugfix][Multimodal] Guard read_frames against empty frame indices
- [Bug]: vllm_c fused_add_rms_norm rounds the residual sum before variance
- [sharded state loader] support pp in sharded state loader
- [Bug]: DeepSeek-V4-Flash-0731 MTP speculative decoding fails to load: KeyError 'model.layers.43.mtp_block.main_norm.weight'
- [Bugfix][Model] Preserve Step3-VL zero-patch CUDA graph outputs
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