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  [![Data](https://img.shields.io/badge/🤗%20Training%20Data-2T%20Tokens-green)](https://huggingface.co/datasets/jhu-clsp)
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  [![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/jhu-clsp/ettin-encoder-vs-decoder)
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- > 🎯 **TL;DR**: State-of-the-art paired encoder and decoder models (17M-1B params) trained identically for fair comparison with open data. Encoders beat ModernBERT. Decoder version beats Llama 3.2/SmolLM2.
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  📄 [Paper (Coming Soon)](https://github.com/jhu-clsp/ettin-encoder-vs-decoder) | 🚀 [GitHub Repository](https://github.com/jhu-clsp/ettin-encoder-vs-decoder)
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  [![Data](https://img.shields.io/badge/🤗%20Training%20Data-2T%20Tokens-green)](https://huggingface.co/datasets/jhu-clsp)
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  [![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/jhu-clsp/ettin-encoder-vs-decoder)
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+ > 🎯 **TL;DR**: State-of-the-art paired encoder and decoder models (17M-1B params) trained identically for fair comparison with open data. Encoders beat ModernBERT. Decoders beat Llama 3.2/SmolLM2.
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  📄 [Paper (Coming Soon)](https://github.com/jhu-clsp/ettin-encoder-vs-decoder) | 🚀 [GitHub Repository](https://github.com/jhu-clsp/ettin-encoder-vs-decoder)
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