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bruphin-epsilon

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:

models:
  - model: nbeerbower/bruphin-delta
    layer_range: [0, 32]
  - model: BarryFutureman/WildMarcoroni-Variant1-7B
    layer_range: [0, 32]
merge_method: slerp
base_model: BarryFutureman/WildMarcoroni-Variant1-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 74.42
AI2 Reasoning Challenge (25-Shot) 72.10
HellaSwag (10-Shot) 88.09
MMLU (5-Shot) 65.04
TruthfulQA (0-shot) 66.95
Winogrande (5-shot) 83.82
GSM8k (5-shot) 70.51
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Model size
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Tensor type
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Merge of

Collection including nbeerbower/bruphin-epsilon

Evaluation results