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Open_Maid_Samantha_Hermes_Orca_dare_tiesv0.1

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 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: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: cognitivecomputations/samantha-1.1-westlake-7b
    parameters:
      density: 0.59
      weight: 0.15
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      density: 0.59
      weight: 0.3
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      density: 0.49
      weight: 0.3
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      density: 0.49
      weight: 0.25
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 67.80
AI2 Reasoning Challenge (25-Shot) 65.87
HellaSwag (10-Shot) 85.48
MMLU (5-Shot) 64.50
TruthfulQA (0-shot) 51.92
Winogrande (5-shot) 80.35
GSM8k (5-shot) 58.68
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Model size
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Tensor type
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Evaluation results