Unveiling Gemma 3: Revolutionizing AI Models
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Today, we dive into the exhilarating world of Gemma models, with Gemma 3 leading the charge. This latest release boasts not one, not two, but four models - the 1B, 4B, 12B, and the monstrous 27B. Unlike its predecessors, Gemma 3 allows enthusiasts to fine-tune and conduct research, a feature sorely missed in earlier models. The introduction of a multimodal approach sets Gemma 3 apart, enabling it to handle both text and vision tasks with finesse, a true game-changer in the field.
Gemma 3 models come equipped with longer context windows, providing a substantial boost in performance compared to Gemma 2. With training on trillions of tokens, these models are primed for multilingual tasks and offer enhanced architectures and attention layers. The innovative training techniques, including knowledge distillation, ensure that Gemma 3 models are at the top of their game, delivering exceptional results in tasks like visual question answering and text processing. The Gemma 3 lineup is a force to be reckoned with, setting a new standard in the world of AI models.
Setting up and utilizing Gemma 3 models is a breeze with the Transformers Library, offering various options like pipelines and conditional generation classes. These models are not just powerful but also versatile, catering to a wide range of tasks and applications. Whether you're a researcher, enthusiast, or simply curious about cutting-edge AI technology, Gemma 3 is a must-have in your arsenal. Stay tuned for more thrilling updates and in-depth explorations of Gemma 3's capabilities on the horizon. Gemma 3 is not just a model; it's a revolution in the making, redefining what's possible in the realm of AI.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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Viewer Reactions for Gemma 3 - The NEW Gemma Family Members Have Arrived!!!
User tested the 27b model on dual 3060 12GB cards and found it accurate
Gemma 3 does not support speech but is multimodal
User wonders if it makes sense to fine-tune the 12B model with local content or continue with RAG
User tried swapping models and found the Gamma 3 4B worse in conversations and questions
User wants Gemma with reasoning for models to be useful
User praises Gemma 2:2b and finds the 4b model a great improvement
User got a ZeroGPU daily quota exceeded message on their second query
User asks about how the models would perform on function calling
User expresses frustration with limited availability of models from Google
User comments on Gemma license not being free software
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