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exusiaiw
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exusiaiw
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A trilingual causal language model (English / Dutch / Chinese) pretrained from scratch on developmentally plausible text data, using the OLMo2 architecture.
Multilingual Track leaderboard (as of submission):
| Model | Multilingual Avg | EN Avg | NL Avg | ZH Avg |
|---|---|---|---|---|
| This model | ~45-47 | - | - | - |
| Best baseline (gpt2-en_nld_zho_equal) | 38.86 | 40.04 | 40.02 | 36.51 |
Selected task scores:
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel = AutoModelForCausalLM.from_pretrained("exusiaiw/emnlp-babylm-2026")tokenizer = AutoTokenizer.from_pretrained("exusiaiw/emnlp-babylm-2026")
BabyLM 2026 Challenge — EMNLP 2026 Workshop, Budapest