merge

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

Merge Details

Merge Method

This model was merged using the Linear DELLA merge method using suayptalha/Lamarckvergence-14B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: della_linear
dtype: float32
out_dtype: bfloat16
parameters:
  epsilon: 0.04
  lambda: 1.05
  normalize: true
base_model: suayptalha/Lamarckvergence-14B
tokenizer_source: arcee-ai/SuperNova-Medius
models:
  - model: sthenno/tempesthenno-ppo-ckpt40
    parameters:
      weight: 7
      density: 0.5
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 7
      density: 0.4
  - model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
    parameters:
      weight: 8
      density: 0.4
  - model: sthenno/tempesthenno-ppo-ckpt40
    parameters:
      weight: 7
      density: 0.5
  - model: CultriX/Qwen2.5-14B-Ultimav2
    parameters:
      weight: 5
      density: 0.45
  - model: CultriX/Qwen2.5-14B-HyperMarck-dl
    parameters:
      weight: 6
      density: 0.5
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