# Google AI 发布实验性开源模型 DiffusionGemma

- 来源：Google AI Developers (@googleaidevs)
- 发布时间：2026-06-11 00:15
- AIHOT 分数：67
- AIHOT 链接：https://aihot.virxact.com/items/cmq8ata8y00opslldqvss1e8w
- 原文链接：https://x.com/googleaidevs/status/2064743223491449013

## AI 摘要

Google 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。

## 正文

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.