QuantFactory/Gemma-2-Ataraxy-v4-Advanced-9B-GGUF

This is quantized version of lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B created using llama.cpp

Original Model Card

Gemma-2-Ataraxy-v4-Advanced-9B

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
• zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25

Configuration

The following YAML configuration was used to produce this model:

base_model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 42]
    model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	30.83
IFEval (0-Shot)	70.15
BBH (3-Shot)	43.18
MATH Lvl 5 (4-Shot)	6.12
GPQA (0-shot)	11.86
MuSR (0-shot)	16.29
MMLU-PRO (5-shot)	37.41