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
- [Bug]: GLM-5.3-Flash with HiSparse has no compatible KV cache layout (LBHNC vs BLHNC)
- [Bug] VLLM_BATCH_INVARIANT=1 is not batch-invariant for a pooling (cross-encoder) model on sm_120 — GEMMs fall to the cuBLAS-workspace branch
- [Bug]: DFlash DCP slot mapping uses kernel block size for DCP ownership
- [MM][CG] Support ViT full CUDA graph for BLIP-2
- [Transformers backend] Migrate ModernBERT embedding, reranker and token classification models
- [Hisparse] Support HiSparse for QSA
- [ROCm][Perf][Tracking Issue]: RedHatAI/gemma-4-31B-it-FP8-block
- [Bugfix] Harmony parser: strip <|channel|> from recipient to suppress fake tool calls (58825)
- [Bug]: /scale_elastic_ep bypasses API-key authentication, accepts boolean counts, and returns 500 for unsupported scaling
- [Bug]: NixlConnector heterogeneous TP silently misreads KV pages with split K/V slots (ROCm AITER shuffle, ROCM_ATTN, B12X)
- Docs
- Python not yet supported