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
- fix(serving): add bounds check for prev_tool_call_arr in streaming tool calls
- [vLLM IR] 3/N fused_add_rms_norm and maybe_inplace
- Added Hierarchical all reduce
- [Bugfix] Fix Responses API crash when ResponseReasoningItem has content=None
- fix: correctly save fp8 kernel tuning results in multi-GPU mode
- [Bug]: VLLM 0.17.1 initial mtp with FLASH_ATTN randomly crash
- [ROCm] Enable Sequence Parallelism for AMD GPUs (MI300X/MI325X/MI355X)
- docs: add Simplified Chinese README (README_zh-CN.md)
- [Model] Add OmniASR (Meta Omnilingual ASR) model support
- Unify FlashInfer utility modules
- Docs
- Python not yet supported