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license: mit
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<h2 align="center"> <a href="https://arxiv.org/abs/2405.14297">Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models</a></h2>
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## 📰 News
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- **[2024.05.25]** 🔥 Our **checkpoints** are available now!
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- **[2024.05.23]** 🔥 Our [paper](https://arxiv.org/abs/2405.14297) is released!
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license: mit
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pipeline_tag: image-text-to-text
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tags:
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- text-generation-inference
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<h2 align="center"> <a href="https://arxiv.org/abs/2405.14297">Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models</a></h2>
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## 📰 News
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- **[2024.5.31]** 🔥 Our [code](https://github.com/LINs-lab/DynMoE/) is released!
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- **[2024.05.25]** 🔥 Our **checkpoints** are available now!
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- **[2024.05.23]** 🔥 Our [paper](https://arxiv.org/abs/2405.14297) is released!
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