This is a merge of pre-trained language models created using
mergekit
.
Merge Details
Tasks
Version
Filter
n-shot
Metric
Value
Stderr
eq_bench
2.1
none
0
eqbench
↑
78.7955
±
1.4668
none
0
percent_parseable
↑
100.0000
±
0.0000
0.3 involved 3 separate tunes stock merged on overlapping datasets for long context writing, multi-turn conversation and RP, with a touch of poetry and code.
From there, each of the four threads was separately task-tuned on 2 datasets each.
Various methods of combining those via merge were tested, with this one scoring highest on EQ-Bench as an indicator.
My understanding of the Model Stock merge method is that it reduces task adaptation to a significant degree, but also significantly limits forgetting caused by training.
I have hope that the adaptation, especially over two stages, is still sufficient to aid in longer contexts and multi-turn conversations from the ancestor models, and add some individual style while retaining a fair amount of their capability.
This model's refusals are ... not nonexistent, but certainly don't rely on them.
To my knowledge it has no particular refusal behavior for simply NSFW content, but I haven't exactly exhaustively tested which OSHA violations it will aid and abet.
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