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Gemma explained: An overview of Gemma model family architectures
Learn more about the different variations of Gemma models, how they are designed for different use cases, and the core parameters of their architecture.
Because all these models share a similar DNA, the Gemma family presents a unique way to learn about the architectures and design choices that are available in modern LLM systems. This augmented representational capacity might result in the model learning noise or specific training data patterns that lack the ability to generalize to novel examples. Leveraging a scaled dot-product attention mechanism, the model employs linear projections ( q_proj, k_proj, v_proj, and o_proj) to generate query, key, value, and output representations.
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