jhu-clsp / ettin-encoder-68m

Other6.7K8Updated Jul 18, 2025

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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

  • fill mask
  • transformers

Tags

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

Technical specifications

ParametersNot available
Librarytransformers
Languagesen
Licensemit