8bpw/h8 exl2 quantization of
grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B using
PIPPA calibration dataset.
kuno-kunoichi-v1-DPO-v2-SLERP-7B is a merge of pre-trained language models created using
mergekit.
I'm hoping that the result is more robust against errors or when merging due to "denseness", as the two models likely implement comparable reasoning at least somewhat differently.
I've performed some testing with ChatML format prompting using temperature=1.1 and minP=0.03. The model also supports Alpaca format prompts.
This model was merged using the SLERP merge method.
1slices:
2 - sources:
3 - model: SanjiWatsuki/Kunoichi-7B
4 layer_range: [0,32]
5 - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
6 layer_range: [0,32]
7merge_method: slerp
8base_model: SanjiWatsuki/Kunoichi-7B
9parameters:
10 t:
11 - value: 0.5
12dtype: float16
13
