Google AI Developers@googleaidevs · XGoogle AI 发布实验性开源模型 DiffusionGemma，采用 Apache 2.0 许可证。该模型基于文本扩散方法，将生成瓶颈从内存带宽转向计算，在专用 GPU 上 token 输出速度最高提升 4 倍。推理时仅激活 3.8B 参数，量化后可适配 24GB VRAM 消费级 GPU。并行 token 生成支持自我纠错，适用于代码填充、行内编辑等非线性结构。DiffusionGemma 优先速度而非极致质量，生产场景仍推荐标准 Gemma 4。
DiffusionGemma， our experimental open model released under an Apache 2.0 license， explores text diffusion， an exceptionally fast approach to text generation.
Here's how DiffusionGemma accelerates development：
+ Faster token output： By shifting the bottleneck from memory bandwidth to raw compute， the model generates up to 4x faster token output on dedicated GPUs + Accessible hardware footprint： Activates just 3.8B parameters during inference， fitting comfortably within 24GB-VRAM high-end consumer GPUs when quantized + Novel workflows： Parallel token generation enables self-correction， making it ideal for code infilling， in-line editing， and non-linear structures
DiffusionGemma prioritizes speed over raw quality and accelerates best on compute-bound hardware （like @NVIDIAAI GPUs）. Standard @GoogleGemma 4 remains recommended for production quality and memory-bound devices.