merge

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

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 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: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
    parameters:
      weight: 1.0
  - model: jpacifico/Chocolatine-14B-Instruct-4k-DPO
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
    normalize: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 30.21
IFEval (0-Shot) 49.62
BBH (3-Shot) 48.00
MATH Lvl 5 (4-Shot) 14.58
GPQA (0-shot) 12.19
MuSR (0-shot) 14.95
MMLU-PRO (5-shot) 41.90
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Model size
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Evaluation results