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
- [Kernel] Fix UB type-punning in vectorized_process
- [feat] FlashInfer CuteDSL MegaMoE integration
- [Detokenizer] Cache single-token decode results for logprobs
- [Usage]: Qwen3-Omni-30B-A3B-Instruct input tokens doubled
- [Profiler][GPU] Extend CUDA graph capture profiling to the V2 model runner
- [Bug]: GLM-5.3-Flash - attention archiecture Glm5NextTextLinearAttention not supported
- [ROCm] Consume MXFP4 QuantizedActivation in AITER linear
- [Responses] Implement usage tracking, streaming final items, incomplete_reason, and MCP/builtin tool rendering
- [Bugfix][Spec Decode] Profile adaptive verification tail on a schedulable batch shape
- [ROCm][Kimi-K3] Fuse MXFP4 quant into KDA decode
- Docs
- Python not yet supported