Model details

image/webp The sequel no one asked for

Feedback is welcome, and advised.


This is a merge of pre-trained language models created using mergekit.

Merge Method

This model was merged using the DARE TIES merge method using nbeerbower/Mistral-Nemo-Prism-12B-v7 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: nbeerbower/Mistral-Nemo-Prism-12B-v7
    #no parameters necessary for base model
  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3
    parameters:
      density: 0.5
      weight: 0.5
  - model: elinas/Chronos-Gold-12B-1.0
    parameters:
      density: 0.5
      weight: 0.5

merge_method: dare_ties
base_model: nbeerbower/Mistral-Nemo-Prism-12B-v7
parameters:
  normalize: false
  int8_mask: true
dtype: float16
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Tensor type
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