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PlumCode

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 meta-llama/Llama-3.1-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
    parameters:
      density: 0.5
      weight: 0.3
  - model: ValiantLabs/Llama3.1-8B-Enigma
    parameters:
      density: 0.5
      weight: 0.25
base_model: meta-llama/Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 9.77
IFEval (0-Shot) 20.45
BBH (3-Shot) 8.50
MATH Lvl 5 (4-Shot) 2.42
GPQA (0-shot) 3.47
MuSR (0-shot) 8.97
MMLU-PRO (5-shot) 14.84
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Model size
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Tensor type
BF16
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Evaluation results