This is a merge of pre-trained language models created using
mergekit
.
First one that's shown promising capability improvement over the base model
h2o-danube2-1.8b-base
.
Training methodology ... is a bit of a mess, trying out different things.
I'm adding the datasets used at any point, but I don't think replicating the recipe is doable or sensible.
Original upscale at Lambent/danube2-upscale-1, duplicating layers 16-21. Various training methods attempted to repair.
Linear merge is of the 4 that were at least 90% parseable by the EQ-Bench benchmark.
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