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]: Porting `RMSNormQuantFusionPass` to manual fusion
- [Feature]: Porting `AttnQuantFusionPass` to manual fusion
- [Feature]: Porting `MLARoPEKVCacheCatFusionPass` to manual fusion
- [Bug]: Hybrid Mamba + KV connector disagg blocked by _mamba_block_aligned_split assertion (NemotronH-550B repro)
- [Bugfix] Respect CompilationMode.NONE / eager backend in VocabParallelEmbedding.get_masked_input_and_mask
- [Kernel] Support GLM-5 dimensions for TRT-LLM ragged MLA prefill
- [Docs] Update deprecated VLLM_FLASHINFER_MOE_BACKEND reference
- [Examples] Fix use_beam_search type in dummy_client.py
- [Perf] Add tuned MoE configs for E=256, N=512/1024 on H100/H200/B200
- config: add compile_factors() and refactor compute_hash() as thin wrappers
- Docs
- Python not yet supported