51 lines
1.5 KiB
Markdown
51 lines
1.5 KiB
Markdown
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---
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base_model:
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- SanjiWatsuki/Kunoichi-7B
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- SanjiWatsuki/Kunoichi-DPO-v2-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: cc-by-nc-4.0
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---
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# kuno-kunoichi-v1-DPO-v2-SLERP-7B
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kuno-kunoichi-v1-DPO-v2-SLERP-7B is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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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.
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I've performed some testing with ChatML format prompting using temperature=1.1 and minP=0.03. The model also supports Alpaca format prompts.
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[GGUF-IQ-Imatrix quants helpfully provided by Lewdiculous.](https://huggingface.co/Lewdiculous/kuno-kunoichi-v1-DPO-v2-SLERP-7B-GGUF-IQ-Imatrix)
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[GGUF quants](https://huggingface.co/grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B-GGUF)
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
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* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: SanjiWatsuki/Kunoichi-7B
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layer_range: [0,32]
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [0,32]
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merge_method: slerp
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base_model: SanjiWatsuki/Kunoichi-7B
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parameters:
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t:
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- value: 0.5
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dtype: float16
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```
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