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jhu-clsp / ettin-encoder-32m

Embeddings15K17Updated Jul 18, 2025
Hugging Face

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15K

Likes

17

Last updated

Jul 18, 2025

License

mit

šŸŽÆ 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.

Tasks & library

  • feature extraction
  • transformers

Tags

  • transformers
  • pytorch
  • modernbert
  • fill-mask
  • feature-extraction
  • en

Technical specifications

ParametersNot available
Librarytransformers
Languagesen
Licensemit