davidbrandfonbrener
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README.md
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# CoLoR-filter
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See accompanying code at: https://github.com/davidbrandfonbrener/color-filter-olmo
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To download the data, we recommend using the huggingface-cli.
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To download all the data, run `huggingface-cli download hlzhang109/CoLoR-filter --local-dir YOUR_PATH`.
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This will download the data to your huggingface cache and create a local-dir with symbolic links to the data. If you actually want the data at `YOUR_PATH`, set it as the `--cache-dir` in the command.
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WARNING: the data is large since it contains a copy of tokenized C4 to ensure that the selected data indices match with the tokenized raw data. The C4 data is ~300GB and the rest of the repo is ~50GB of which ~45GB is the 1.2B model and optimizer checkpoints.
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If you only want to download some files (e.g. just the models), use the cli. For example, `huggingface-cli download hlzhang109/CoLoR-filter --local-dir YOUR_PATH --include "models/*"`.
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## Citation
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If you use this code in your research, please cite the following paper:
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```bibtex
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@inproceedings{,
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title={},
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author={},
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booktitle={},
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year={},
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}
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```
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