Of all my findings in the Progenitor series, this is the culmination of all the best settings. I fixed the typo I had earlier where it wasn't computing in float32, but 6 models in computed in float32 is a bit taxing on resources and time and so I left it for the configuration I thought was the best (it's not something I can afford to do with every model I make, just the worthwhile ones). This one also uses the Sicari's tokenizer which I find the best.

This is a merge of pre-trained language models created using mergekit.

This model was merged using the Linear DELLA merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.

The following models were included in the merge:

The following YAML configuration was used to produce this model: