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ogbert-tokenizer-16384
mjbommar/ogbert-tokenizer-16384
ogbert-tokenizer-16384 is a machine learning model from mjbommar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
A 16,384-token BPE tokenizer for OpenGloss OGBERT embedding models.
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Public
Updated Dec 10, 2025
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 10, 2025
- SHA
- f87e9d15
Model card
From the Hugging Face model README
OGBERT Tokenizer (16K)
A 16,384-token BPE tokenizer for OpenGloss OGBERT embedding models.
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("mjbommar/ogbert-tokenizer-16k")
tokens = tokenizer.encode("hello world")
Details
- Vocab Size: 16,384 (power of 2)
- Space Token: ID 16383
- Special Tokens: IDs 0-6 (
<|start|>,<|end|>,<|pad|>,<|unk|>,<|cls|>,<|sep|>,<|mask|>) - Training Data: mjbommar/opengloss-v1.1-dictionary
Citation
@misc{bommarito2025opengloss,
title={OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph},
author={Michael J. Bommarito II},
year={2025},
eprint={2511.18622},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
License
Apache 2.0
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Dec 3, 2025
- Updated
- Dec 10, 2025