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
- [Bugfix][MiMo] Fix ViT attention-sink semantics and omni wrapper packed_modules_mapping
- [Bug]: An error preventing the compilation of certain code about CUDA kernels soccurred with FlashInfer version 0.6.18, which was automatically installed alongside the precompiled vLLM version 0.29.0
- [Kernel][ROCm] W8A8 FP8 hip kernel for RDNA4
- [Bug]: cutlass_scaled_mm_supports_block_fp8 excludes SM89 (Ada Lovelace) despite native FP8 tensor core support
- [Bugfix][Whisper] Add WhisperGenerationMixin.generate (HF generate_with_fallback)
- [Feature] Improve engine rpc failure handling and shutdown
- [Bugfix][KV Connector][Mooncake] Announce residency for every Store write
- [Bugfix] DeepSeek-V4 parser: drop the content/tool separator so parsed turns re-render byte-identically
- [Bugfix][Engram] Reject offloaded tables larger than host memory
- [Bug]: GLM required tool-call grammar accepts split marker tokens that the streaming parser treats as content
- Docs
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