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    Google for Developers Notes One Billion Gemma Downloads

    Official account shares developer applications of the open model in on-device and local settings.

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    2 Sources, 26d ago, first seen 26d ago

    TLDR

    Google for Developers posted that the company is celebrating more than one billion downloads for Gemma. The message asks how developers actually use open models and references conversations with Google DeepMind's DynamicWebPaige plus collaborators UnslothAI and Qualcomm. Those talks cover building on-device tools, running local fine-tuning, and pushing multimodal work. A fifty-five second video attachment opens with a city scene. The post comes from the verified account that shares tools, resources, events, and announcements aimed at developers.

    Combined views

    49.7K

    2 Sources, first seen 26d ago

    Combined views

    49.7K

    2 Sources, first seen 26d ago

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    11 comments
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    19 reposts
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    2 Sources

    @googledevsICYMI, we're celebrating 1 BILLION+ downloads for @googlegemma 💎 How are developers actually using open models? @GoogleDeepMind’s @DynamicWebPaige caught up with devs and collaborators like @UnslothAI and @Qualcomm to hear how they’re building on-device tools, running local fine-tuning, and pushing multimodal breakthroughs.
    @DynamicWebPaigethe best part of open models isn't the benchmarks: it's the humans fine-tuning with @UnslothAI on a consumer gpu (even on @kaggle or @googlecolab!), the team shipping on-device with no cloud bill, the multimodal demo that shouldn't work but does ♥️ 1B @googlegemma downloads = 1B chances someone builds something no one on our research and engineering teams ever dreamed of that's the magic ✨

    2 Sources

    @googledevsICYMI, we're celebrating 1 BILLION+ downloads for @googlegemma 💎 How are developers actually using open models? @GoogleDeepMind’s @DynamicWebPaige caught up with devs and collaborators like @UnslothAI and @Qualcomm to hear how they’re building on-device tools, running local fine-tuning, and pushing multimodal breakthroughs.
    @DynamicWebPaigethe best part of open models isn't the benchmarks: it's the humans fine-tuning with @UnslothAI on a consumer gpu (even on @kaggle or @googlecolab!), the team shipping on-device with no cloud bill, the multimodal demo that shouldn't work but does ♥️ 1B @googlegemma downloads = 1B chances someone builds something no one on our research and engineering teams ever dreamed of that's the magic ✨