lemon07r_-_Gemma-2-Ataraxy-Doppel-9B-gguf

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Gemma-2-Ataraxy-Doppel-9B - GGUF

• Model creator: https://huggingface.co/lemon07r/
• Original model: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-Doppel-9B/

Original model description:

base_model:

• unsloth/gemma-2-9b-it
• princeton-nlp/gemma-2-9b-it-SimPO
• wzhouad/gemma-2-9b-it-WPO-HB
• nbeerbower/Gemma2-Gutenberg-Doppel-9B library_name: transformers tags:
• mergekit
• merge

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Gemma-2-Ataraxy-Doppel-9B

One last test model.. that you should ignore again.

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 unsloth/gemma-2-9b-it as a base.

Models Merged

The following models were included in the merge:

• princeton-nlp/gemma-2-9b-it-SimPO
• wzhouad/gemma-2-9b-it-WPO-HB
• nbeerbower/Gemma2-Gutenberg-Doppel-9B

Configuration

The following YAML configuration was used to produce this model:

base_model: unsloth/gemma-2-9b-it
dtype: bfloat16
merge_method: della
parameters:
  epsilon: 0.1
  int8_mask: 1.0
  lambda: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 42]
    model: unsloth/gemma-2-9b-it
  - layer_range: [0, 42]
    model: wzhouad/gemma-2-9b-it-WPO-HB
    parameters:
      density: 0.55
      weight: 0.6
  - layer_range: [0, 42]
    model: princeton-nlp/gemma-2-9b-it-SimPO
    parameters:
      density: 0.35
      weight: 0.6
  - layer_range: [0, 42]
    model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
    parameters:
      density: 0.25
      weight: 0.4