Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+datasets:
+- allenai/olmo-mix-1124
+---
+
+# BPE Baseline
+This 8B model was trained from scratch with a traditional subword BPE tokenizer, and serves as our baseline in experiments.
+
+The model was trained with the Olmo2 7B architecture and pretraining data. It has a context length of 4,096 tokens and is trained on 321B tokens. The tokenizer has a vocabulary size of 200k.
+
+## Example Usage
+
+```
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("UW/OLMo2-8B-BPE")
+model = AutoModelForCausalLM.from_pretrained("UW/OLMo2-8B-BPE")
+
+tokenizer.convert_ids_to_tokens(tokenizer.encode("By the way, I am a fan of the Milky Way."))
+# ['By', 'Ġthe', 'Ġway', ',', 'ĠI', 'Ġam', 'Ġa', 'Ġfan', 'Ġof', 'Ġthe', 'ĠMilky', 'ĠWay', '.']
+```
+
+# Citation
+```
+@misc{liu-etal-2025-superbpe,
+  title={SuperBPE: Space Travel for Language Models}, 
+  author={Alisa Liu and Jonathan Hayase and Valentin Hofmann and Sewoong Oh and Noah A. Smith and Yejin Choi},
+  year={2025},
+  eprint={2503.13423},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL},
+  url={https://arxiv.org/abs/2503.13423}, 
+}
+```