Shriya Rishab
Shriya Rishab
Closing as the reference was not tested on H100s Note that there were multiple H100 DLRMv2 submissions in the MLPerf Training v4.0 round as shown in the [results table](https://mlcommons.org/benchmarks/training/). Training...
@pgmpablo157321 is this still an issue?
All required data can be downloaded using instructions in the [S3 artifacts download section](https://github.com/mlcommons/training/blob/master/large_language_model/megatron-lm/README.md#s3-artifacts-download) of the README.
https://github.com/mlcommons/policies/pull/181 - PR to address benchmark lifecycle and early retirement process.