VaultGemma

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 support for several next-generation model architectures, including the high-efficiency Qwen3-Next and Qwen3-VL series, the privacy-focused VaultGemma, and the high-speed Longcat Flash MoE.

This release introduces a preview of the Vault-Gemma model, a 1B parameter decoder-only model trained with sequence-level differential privacy.