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kuno-kunoichi-v1-DPO-v2-SLERP-7B-GGUF

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.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

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
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GGUF
Model size
7.24B params
Architecture
llama
Inference API
This model can be loaded on Inference API (serverless).

Merge of

Collection including grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B-GGUF