Google DeepMind's DiffusionGemma uses image-generation diffusion techniques to accelerate text output by up to 4x
By
Tobias Mann
Summary
Google's DeepMind team has released DiffusionGemma, an experimental open-weights language model that applies diffusion techniques (originally developed for AI image generation) to speed up text generation. The 26 billion-parameter mixture-of-experts model can boost text output performance by up to 4x when running on consumer hardware with just 18 GB of DRAM or VRAM. It's free to download and joins Google's Gemma family of open models.
Source
bskyGoogle DeepMind's DiffusionGemma uses image-generation diffusion techniques to accelerate text output by up to 4xtheregister.comKey quotes
· 3 pulledThe 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.
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