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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 SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model:
  model:
    path: Gille/StrangeMerges_21-7B-slerp
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.3, 0.5, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.7, 0.5, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: eren23/dpo-binarized-NeutrixOmnibe-7B
  - layer_range: [0, 32]
    model:
      model:
        path: Gille/StrangeMerges_21-7B-slerp

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 76.20
AI2 Reasoning Challenge (25-Shot) 73.98
HellaSwag (10-Shot) 89.05
MMLU (5-Shot) 64.83
TruthfulQA (0-shot) 75.12
Winogrande (5-shot) 85.08
GSM8k (5-shot) 69.14
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Tensor type
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Evaluation results