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
- NVFP4 fused-expert scales dropped in Qwen3_5_VL_MoE weight_loader (qwen3_5_vl_moe)
- [Bug]: [CPU] GDN attention falls back to slow torch conv1d on non-AMX AVX-512BF16 CPUs
- [Model][Bugfix] step3.7-flash: bounds-check per-layer config lookups for MTP layers
- [RFC]: Enable full CUDA graphs for MoRIIO READ mode via async KV-load gating
- [Bugfix][Core] Propagate DBO padding through grouped top-k routing
- [Bugfix][Spec Decode] Route dflash on Qwen3DSparkModel arch to dspark
- [Bugfix][Tool Parser] Migrate Granite to the streaming Parser Engine
- [CPU][Spec Decode] Centralize CPU causal-conv dispatch
- [Feature]: Add a server-side tool strictness level for auto tool choice
- [Docs]: MkDocs TOC slugify differs from markdownlint MD051 anchor validation
- Docs
- Python not yet supported