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
- [ROCm] Enable Hisparse on ROCm : Sparse MLA Hot-Buffering
- [Docs] Clarify nightly installation and fix cu129 resolving to CUDA 13 wheel (Refs #42338)
- [Build] Cap default build parallelism by available memory in setup.py
- [Bugfix][Core] Release pinned host cache before discarded wake remap
- GLM-OCR MTP broken by two defects: loader drops model.language_model.layers.* MTP weights before prefix rewrite; MTP forward not CUDA-graph safe
- [Bugfix][Spec Decode] Fix multimodal embedding merge in Llama 4 and Mistral Large 3 EAGLE drafters
- [Bugfix] Keep TRTLLM attention when FlashInfer cubins are local
- [Perf][Kernel] Fuse post-norm, residual add and pre-norm into one op
- [Bugfix][DP] add_dp_placement_groups does not require ray[default]
- [Spec Decode] Fix Hybrid Mamba KV-cache admission for dynamic K
- Docs
- Python not yet supported