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merge

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using CultriX/Qwen2.5-14B-MegaMerge-pt1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

# final_dare_ties_merge.yaml

models:
  - model: CultriX/Qwen2.5-14B-MergeStock
    parameters:
      density: 0.5  # Retain 50% of the most significant parameters
      weight: 0.6    # Emphasize MergeStock's contributions
  - model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      density: 0.5  # Retain 50% of the most significant parameters
      weight: 0.4    # Incorporate Wernicke's contributions
merge_method: dare_ties
base_model: CultriX/Qwen2.5-14B-MegaMerge-pt1
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct
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