csris

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Together's Slurm configs model GPUs as GRES resources [1]. Jobs then specify the number of GPUs that they need with flags like `--gres=gpu:8`.

[1]: https://slurm.schedmd.com/gres.html

csris

3 anni fadiscuss

Note that you also need about 5TB of disk for the full decompressed dataset. However, only common crawl are compressed in jsonl.zst, everything else is uncompressed jsonl.

csris

3 anni fadiscuss

Nice catch! We sampled the github dataset to match the total # tokens seen by LLaMA during training: ~64B tokens (they only pass through 0.64 of their total Github dataset according to the paper). We have a lot of Github data and will make them available soon. Note, we also have not built this for compute optimal training. We are following LLaMA's lead and are training on more data for longer to optimize for quality, not compute.

csris

3 anni fadiscuss

Hi! I'm the VP of Engineering at Together. Thanks for writing up these instructions! FYI, you can also download all the files with one wget command:

  wget -i https://data.together.xyz/redpajama-data-1T/v1.0.0/urls.txt

This is also mentioned on the dataset card for redpajama-data-1T on Huggingface [1].

[1]: https://huggingface.co/datasets/togethercomputer/RedPajama-D...