Quantized models
Collection
Select models helpfully quantized by others as well as myself
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59 items
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This is an 8.0bpw exl2 quant of a merge of pre-trained language models created using mergekit. Full weights are here. Q8_0 GGUF quant is here.
Light testing was performed with ChatML format prompting using temperature 1 to 1.1 and minP 0.01 to 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