> Note: If you wish to use GemMoE while it is in beta, you must add the flag trustremotecode=True in your training/inference config. Please read the howto.md for a description of these newer models. I’ve shared instructions on how you can create your own GemMoE model. You can find the guide here. I am delighted to finally be able to share the beta release of GemMoE, a project that has been a labor of love and a testament to the power of collaboration within the AI community. GemMoE is a Mixture of Experts (MoE) model that combines the strength of Deepmind’s Gemma architecture with a custom-tailored approach to enable easy training and inference. At its core, GemMoE comprises 8 separately fine-tuned Gemma models, with 2 experts per token. I have meticulously incorporated bug fixes for Gemma, ensuring that you can train and perform inference with GemMoE just as you would with any other model in the transformers library. My goal was to create a model that is not only powerful but also user-friendly and accessible to researchers, developers, and users alike. The development of GemMoE was challenging yet incredibly rewarding. Although I encountered numerous obstacles along the way,…
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Автор: Crystalcareai
Теги: gemmoe, custom_code
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
