LeroyDyer/SpydazWeb_HumanAI_M3

merge

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

Merge Details

Merge Method

This model was merged using the TIES merge method using SpydazWeb_HumanAI_M2 as a base.

Models Merged

The following models were included in the merge:

• LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
• LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
• SpydazWeb_HumanAI_M1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: SpydazWeb_HumanAI_M1
    parameters:
      density: 0.256
      weight: [0.768, 0.768, 0.128, 0.128] # weight gradient
  - model: SpydazWeb_HumanAI_M2
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
    parameters:
      density: 0.256
      weight:
        - filter: mlp
          value: 0.768
        - value: 0.512
merge_method: ties
base_model: SpydazWeb_HumanAI_M2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	5.39
IFEval (0-Shot)	15.79
BBH (3-Shot)	4.77
MATH Lvl 5 (4-Shot)	0.23
GPQA (0-shot)	2.80
MuSR (0-shot)	7.13
MMLU-PRO (5-shot)	1.65