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Diffusion Gemma 26B MOE model released for local deployment

A new Mixture-of-Experts (MoE) model called Diffusion Gemma has been released, featuring 26 billion parameters. The model's architecture is designed for efficient local deployment, with discussions already underway on how to integrate it with tools like llama.cpp. This release is generating excitement within the community for its potential performance and accessibility. AI

IMPACT Enables more efficient local AI model execution and experimentation.

RANK_REASON The cluster describes the release of a new open-source model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Diffusion Gemma 26B MOE model released for local deployment

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/Specter_Origin ·

    Diffusion Gemma 26B MOE

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u27wil/diffusion_gemma_26b_moe/"> <img alt="Diffusion Gemma 26B MOE" src="https://preview.redd.it/p52ce2krjh6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=93c982d2ed57efd53add2cd4b0d5ab19becb1b6e" title…