Merge

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

Merge Details

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We're all stories in the end

Merge Method

This model was merged using the TIES merge method using v000000/Qwen2.5-Lumen-14B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: v000000/Qwen2.5-Lumen-14B
    #no parameters necessary for base model
  - model: Qwen/Qwen2.5-Coder-14B
    parameters:
      density: 0.5
      weight: 0.5
  - model: Krystalan/DRT-o1-14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: v000000/Qwen2.5-Lumen-14B
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 4.56
IFEval (0-Shot) 18.79
BBH (3-Shot) 2.95
MATH Lvl 5 (4-Shot) 0.00
GPQA (0-shot) 0.00
MuSR (0-shot) 3.81
MMLU-PRO (5-shot) 1.83
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Model size
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Tensor type
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Evaluation results