bunnycore/Llama-3.2-3B-ProdigyPlusPlus

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 huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.

Models Merged

The following models were included in the merge:

• bunnycore/Llama-3.2-3B-CodeReactor
• bunnycore/Llama-3.2-3B-Mix-Skill
• bunnycore/Llama-3.2-3B-All-Mix
• bunnycore/Llama-3.2-3B-ProdigyPlusPlus
• bunnycore/Llama-3.2-3B-Sci-Think
• bunnycore/Llama-3.2-3B-Long-Think
• bunnycore/Llama-3.2-3B-Booval
• bunnycore/Llama-3.2-3B-ProdigyPlus
• bunnycore/Llama-3.2-3B-Pure-RP

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: bunnycore/Llama-3.2-3B-Sci-Think
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-CodeReactor
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Long-Think
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Pure-RP
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Booval
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix-Skill
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-ProdigyPlus
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-All-Mix
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	6.44
IFEval (0-Shot)	16.45
BBH (3-Shot)	11.56
MATH Lvl 5 (4-Shot)	2.95
GPQA (0-shot)	0.45
MuSR (0-shot)	1.70
MMLU-PRO (5-shot)	5.56