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] Shrink /score Unicode truncate when retokenize overshoots
- [Bug]: v0.30 dependencies raise the effective compiler floor above GCC 11.3
- [BugFix][CPU] Intersect NIXL KV affinity with sched_getaffinity
- [Bugfix][Transformers backend] Fix CUDA graph capture for dynamic-rope models
- [Model][Perf] Add fixed-resolution LLaVA encoder CUDA graph support
- [ROCm][Perf][GLM-5.3-Flash]: Clean up KDA decode hot path
- [BugFix] Accept hyphenated FunctionGemma tool names in non-streaming parse
- [Bug]: Whisper `verbose_json` silently drops the words after the last complete segment at every chunk cut (long audio); `json`/`text` keep them
- [ROCm][Perf] Prefer ROCM_AITER_FA over ROCM_ATTN when AITER MHA is enabled
- [Attn] Make FlashInfer un-selectable for mixed-causal models
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