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
- [Feature]: Prefix caching completely ineffective for Mamba-hybrid models (Qwen3.5) when prompt < block_size (528 tokens)
- [BugFix] Correct OTEL span start time for Dynamo compilation
- [Bug]: Scheduling deadlock in _mamba_block_aligned_split with multiple large multimodal inputs on hybrid Mamba models
- [BugFix] Fix Gemma4 'layers.0.moe.experts.0.down_proj_packed' KeyError issue
- [Kernel][MoE] Add H200 tuned config for Gemma4 MoE on TP=8/4/2/1
- [Kernel] Add bf16 mm gemm flashinfer backend
- [CI Failure]: mi355_1: Language Models Tests (Standard)
- [codex] Ignore empty connector-polling profiling steps
- [Bugfix] Fix scheduling deadlock in _mamba_block_aligned_split with large multimodal inputs
- [Feature]: Support DFlash for Kimi K2.5 and Qwen3.5-27B for AMD
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