weenie_llama

This autoregressive model belongs to a series of rather small language models trained on the BabyLM data:

• the baby_llama model has few parameters and was trained on a small data set (10M tokens)
• the teenie_llama model has the same number of parameters but was trained on more tokens of text (100M)
• the weenie_llama model was trained on the small data set, but has more parameters/weights
• the tweenie_llama model features both -- more tokens (the larger data set) and more weights (viz. parameters)

If you use this model in your research, please cite the following publication:

@inproceedings{bunzeck-zarriess-2024-fifty,
    title = "Fifty shapes of {BL}i{MP}: syntactic learning curves in language models are not uniform, but sometimes unruly",
    author = "Bunzeck, Bastian  and
      Zarrie{\ss}, Sina",
    editor = "Qiu, Amy  and
      Noble, Bill  and
      Pagmar, David  and
      Maraev, Vladislav  and
      Ilinykh, Nikolai",
    booktitle = "Proceedings of the 2024 CLASP Conference on Multimodality and Interaction in Language Learning",
    month = oct,
    year = "2024",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.clasp-1.7",
    pages = "39--55",
}