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][Attention] Enable FlashInfer mm-prefix attention
- [Bugfix] Fix KV cache memory leak when all requests finish with connector
- [Bug]: test_mla_rope_kvcache_cat_fusion fails with FlashAttnMLA + fp8 KV cache (NotImplementedError)
- [Bug]: test_flashinfer_cutlass_mxfp4_fused_moe accuracy mismatch on H20 (sm90) — 89% mismatch vs 20% threshold
- [XPU][UT] Fix test failure by using platform-aware imports
- [Bug]: test_tp_language_generation[Llama-3.2-1B-...parallel_setup{9,10}] times out (480s) on Hopper — server actually starts but exceeds the test deadline
- [Misc] Add remediation hints to MTP and PCP context-parallel errors
- [Rust Frontend] Migrate gemma4 to unified parser
- Support Vit CudaGraph for v2
- [Bugfix] Parse compact sentence-transformers pooling_mode (>=5.4.0)
- Docs
- Python not yet supported