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merged

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 teknium/OpenHermes-2.5-Mistral-7B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: teknium/OpenHermes-2.5-Mistral-7B
  - layer_range: [0, 32]
    model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 0.25
  - layer_range: [0, 32]
    model: openaccess-ai-collective/dpopenhermes-alpha-v0
    parameters:
      weight: 0.25
  - layer_range: [0, 32]
    model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.25
  - layer_range: [0, 32]
    model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
    parameters:
      weight: 0.25

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 68.04
AI2 Reasoning Challenge (25-Shot) 65.61
HellaSwag (10-Shot) 84.47
MMLU (5-Shot) 63.69
TruthfulQA (0-shot) 53.18
Winogrande (5-shot) 77.74
GSM8k (5-shot) 63.53
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Evaluation results