Quantized models
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Select models helpfully quantized by others as well as myself
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This repo contains GGUF quants of kuno-kunoichi-v1-DPO-v2-SLERP-7B.
kuno-kunoichi-v1-DPO-v2-SLERP-7B is a merge of pre-trained language models created using mergekit. The expectation is 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.
Tested lightly with ChatML instruct format prompting using temperature=1.1 and minP=0.03. The model natively supports Alpaca format prompts.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: SanjiWatsuki/Kunoichi-7B
layer_range: [0,32]
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
layer_range: [0,32]
merge_method: slerp
base_model: SanjiWatsuki/Kunoichi-7B
parameters:
t:
- value: 0.5
dtype: float16
Base model
grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B