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Collection
These language model checkpoints are trained at the 360M and 1.3Bn parameter scales for up to 50Bn tokens on the Pile corpus, for research purposes. • 14 items • Updated • 9
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This dataset is adapted from the paper Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. You can learn more about the data collection process there.
Please consider citing the following if you use this task in your work:
@article{arora2024simple,
title={Simple linear attention language models balance the recall-throughput tradeoff},
author={Arora, Simran and Eyuboglu, Sabri and Zhang, Michael and Timalsina, Aman and Alberti, Silas and Zinsley, Dylan and Zou, James and Rudra, Atri and Ré, Christopher},
journal={arXiv:2402.18668},
year={2024}
}
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