Gemma-2-Ataraxy-v2f-9B

Another test model you should probably ignore.

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:

• jsgreenawalt/gemma-2-9B-it-advanced-v2.1
• lemon07r/Gemma-2-Ataraxy-9B
• ifable/gemma-2-Ifable-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: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
    parameters:
      density: 0.55
      weight: 0.6
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-9B
    parameters:
      density: 0.35
      weight: 0.6
  - layer_range: [0, 42]
    model: ifable/gemma-2-Ifable-9B
    parameters:
      density: 0.25
      weight: 0.4

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	18.77
IFEval (0-Shot)	37.91
BBH (3-Shot)	31.42
MATH Lvl 5 (4-Shot)	0.00
GPQA (0-shot)	11.86
MuSR (0-shot)	3.59
MMLU-PRO (5-shot)	27.81