Google's DiffusionGemma uses diffusion tech to speed text generation
ai and ml
Google's new open-weights model brings image-generation tricks to AI text generation
Language model builds on diffusion tech to boost output performance by up to 4x, claims Chocolate Factory
The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally developed for AI image generators to boost text output performance by as much as 4x when running on resource-constrained consumer hardware. It's free to download and you can run it with just 18 GB of DRAM or VRAM.
The model, codenamed DiffusionGemma, is the latest addition to Google’s open weights model family. But unlike Gemma 4, which launched this spring, the 26 billion-parameter mixture of experts (MoE) model isn’t a large language model in a conventional sense.
Instead, it’s actually closer to image models like Stable Diffusion or Flux. Rather than generating tokens one after another in an autoregressive fashion, DiffusionGemma...
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