DCP

vLLM v0.25.0 introduces Model Runner V2 as the default for dense models, significantly improving performance and adding support for new features like EVS and realtime embeddings. The release also deprecates PagedAttention and enhances the Transformers backend to match native vLLM speed, alongside numerous model additions and performance optimizations across various hardware platforms.

vLLM v0.17.0 introduces a major upgrade to PyTorch 2.10, integrates FlashAttention 4, and significantly matures Model Runner V2 with features like Pipeline Parallelism. This release also adds full support for the Qwen3.5 model family and introduces new performance tuning flags.