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threebird

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

Merge Details

Merge Method

This model was merged using the 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: bobofrut/ladybird-base-7B-v8
    parameters:
      density: 1.0
      weight: 1.0
  - model: S-miguel/The-Trinity-Coder-7B
    parameters:
      density: 1.0
      weight: 1.0
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      density: 1.0
      weight: 1.0
base_model: mistralai/Mistral-7B-v0.1
merge_method: ties
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 74.92
AI2 Reasoning Challenge (25-Shot) 72.44
HellaSwag (10-Shot) 87.82
MMLU (5-Shot) 65.02
TruthfulQA (0-shot) 67.61
Winogrande (5-shot) 84.93
GSM8k (5-shot) 71.72
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Model size
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Tensor type
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Evaluation results