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Carasique-v0.2

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

Merge Details

Merge Method

This model was merged using the della merge method using Carasique-v0.1 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: Carasique-v0.1
parameters:
  int8_mask: true
  rescale: true
  normalize: false
merge_method: della
dtype: bfloat16
models:
  - model: NeverSleep/Lumimaid-v0.2-12B
    parameters:
      density: [0.6, 0.4, 0.5, 0.4, 0.6]
      epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
      lambda: 0.85
      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
  - model: Sao10K/MN-12B-Lyra-v1
    parameters:
      density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
      epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
      lambda: 0.85
      weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
  - model: nothingiisreal/MN-12B-Celeste-V1.9
    parameters:
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
      lambda: 0.85
      weight: [0.55, 0.45, 0.55, 0.45, 0.55]
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