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] Use expanding ldmatrix for Marlin W4A8
- [XPU] fix_test_worker_memory_snapshot_for_xpu
- [Rust frontend] treat stream_interval as no-op instead of unsupported
- [ROCm][Perf] DeepSeek-V4 skip ragged layout packing for topk indices in sparse attn prefill
- [Usage]: Does multimodal HF processor overlap with GPU compute in offline `LLM.generate()`?
- [MoE] Consolidate expert placement strategy resolution
- [Core][Perf] Skip no-op block-hasher calls between full-block boundaries
- fix(security): Validate ZMQ frame count in MooncakeConnector sender listener
- [Docs] Fix ECExampleConnector references in disagg_encoder docs
- fix(security): use effective block size in DCP full KV cache report
- Docs
- Python not yet supported