Google introduces DiffusionGemma, an experimental 26B-parameter open model that uses text diffusion for faster text generation compared to autoregressive models (The Keyword)

Techmeme ·

Google released DiffusionGemma, a 26B open text-diffusion model aimed at faster generation than autoregressive systems.

Categories: Model Releases, OSS & Tools

Excerpt

<a href="https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/"><img align="RIGHT" border="0" hspace="4" src="http://www.techmeme.com/260610/i44.jpg" vspace="4" /></a> <p><a href="https://www.techmeme.com/260610/p44#a260610p44" title="Techmeme permalink"><img height="12" src="http://www.techmeme.com/img/pml.png" style="border: none; padding: 0; margin: 0;" width="11" /></a> <a href="https://blog.google/">The Keyword</a>:<br /> <span style="font-size: 1.3em;"><b><a href="https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/">Google introduces DiffusionGemma, an experimental 26B-parameter open model that uses text diffusion for faster text generation compared to autoregressive models</a></b></span>&nbsp; &mdash;&nbsp; Our newest open experimental model delivers up to 4x faster inference on dedicated GPUs and opens the door to exploring speed-critical, interactive local workflows.</p>