grimjim/Equatorium-v3-12B

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

There seemed to be an instability with a prior merge component that resulted in looping, so I went for a Magnum-adjacent model instead this time. This one seems to hold up for stability and coherence under temp=1.0, minP=0.02, and the usual formatting for this class of model.

Merge Details

Merge Method

This model was merged using the Task Arithmetic merge method using grimjim/mistralai-Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/mistralai-Mistral-Nemo-Base-2407
  - layer_range: [0, 10]
    model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
    parameters:
      weight: 1.00
  - layer_range: [10, 36]
    model: grimjim/AbMagnolia-v1-12B
    parameters:
      weight: 0.75
  - layer_range: [10, 36]
    model: Delta-Vector/Rei-V3-KTO-12B
    parameters:
      weight: 0.25
  - layer_range: [36, 40]
    model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
    parameters:
      weight: 1.00