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---
license: mit
datasets:
- the_pile_openwebtext2
language:
- en
pipeline_tag: text-generation
---
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/NathanGodey/headless-lm
- **Paper:** https://arxiv.org/abs/2309.08351
### Model Architecture and Objective
This model is a Pythia-70m architecture trained on OpenWebText-2 using the Contrastive Weight Tying objective, and briefly fine-tuned for language generation on the same dataset.
## Citation
**BibTeX:**
```bibtex
@misc{godey2023headless,
title={Headless Language Models: Learning without Predicting with Contrastive Weight Tying},
author={Nathan Godey and Éric de la Clergerie and Benoît Sagot},
year={2023},
eprint={2309.08351},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
## Contact
nathan.godey@inria.fr