Fixes for llama 3.1 training #823
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sean-smith
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Added comments on the issues, can you please revert the git based changes - the other 2 look good. |
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* Remove subpath from pretrain_llama.py * Install toml package * Adjust --gres=gpu:8 to number of user specified devices Signed-off-by: Sean Smith <seasmith@nvidia.com>
| mem="0", | ||
| exclusive=True, | ||
| gres="gpu:8", | ||
| packager=run.GitArchivePackager(subpath="large_language_model_pretraining/nemo", ref="HEAD"), |
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Can you please revert packager=run.GitArchivePackager(subpath="large_language_model_pretraining/nemo", ref="HEAD"), as well?
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I can however I don't understand who is able to run this. If you follow the instructions in the readme this will fail since the path is wrong.
Maybe if you move the Dockerfile to the root directory and build there then this will work, i.e.
cp Dockerfile ../..
cd ../..
docker build -t nemo .
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Fixes #821, #820, #824