PlumChat

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: sequelbox/Llama3.1-8B-MOTH
    parameters:
      density: 0.5
      weight: 0.21
base_model: meta-llama/Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 13.13
IFEval (0-Shot) 42.43
BBH (3-Shot) 13.94
MATH Lvl 5 (4-Shot) 3.10
GPQA (0-shot) 2.01
MuSR (0-shot) 4.77
MMLU-PRO (5-shot) 12.52
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Tensor type
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