README.md

metadata

base_model:
  - ifable/gemma-2-Ifable-9B
  - unsloth/gemma-2-9b-it
  - wzhouad/gemma-2-9b-it-WPO-HB
  - nbeerbower/Gemma2-Gutenberg-Doppel-9B
library_name: transformers
tags:
  - mergekit
  - merge

QuantFactory/Gemma-2-Ataraxy-v3j-9B-GGUF

This is quantized version of lemon07r/Gemma-2-Ataraxy-v3j-9B created using llama.cpp

Original Model Card

Gemma-2-Ataraxy-v3j-9B

Err another test model. We near the end of all this though.

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:

• ifable/gemma-2-Ifable-9B
• 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: nbeerbower/Gemma2-Gutenberg-Doppel-9B
    parameters:
      density: 0.55
      weight: 0.6
  - layer_range: [0, 42]
    model: wzhouad/gemma-2-9b-it-WPO-HB
    parameters:
      density: 0.35
      weight: 0.6
  - layer_range: [0, 42]
    model: ifable/gemma-2-Ifable-9B
    parameters:
      density: 0.25
      weight: 0.4