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merge

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: senseable/WestLake-7B-v2
    parameters:
      density: 0.53
      weight: 0.55
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      density: 0.53
      weight: 0.30  
  - model: Undi95/Toppy-M-7B
    parameters:
      density: 0.53
      weight: 0.15  
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. 71.57
AI2 Reasoning Challenge (25-Shot) 69.37
HellaSwag (10-Shot) 87.40
MMLU (5-Shot) 64.63
TruthfulQA (0-shot) 58.79
Winogrande (5-shot) 83.27
GSM8k (5-shot) 65.96
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Tensor type
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Evaluation results