SSM

vLLM v0.27.0 introduces Kimi K3 support, new model additions like Qwen3.5 and VaultGemma, and a significant upgrade to PyTorch 2.13.0. The release also enhances performance and features across various areas including FlashAttention 4, Model Runner V2, KV offloading, and hardware enablement.

This release introduces graph reuse for SSM, hybrid, and recurrent models to optimize memory and performance. It also announces a forthcoming change in Linux distribution formats from .zip to .tar.gz.