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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 task_anysize merge method using senseable/WestLake-7B-v2 as a base.

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: senseable/WestLake-7B-v2
dtype: bfloat16
merge_method: task_anysize
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: chargoddard/piano-medley-7b
    parameters:
      weight: 0.55
  - layer_range: [0, 32]
    model:
      model:
        path: senseable/WestLake-7B-v2

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 74.03
AI2 Reasoning Challenge (25-Shot) 72.18
HellaSwag (10-Shot) 88.52
MMLU (5-Shot) 64.43
TruthfulQA (0-shot) 66.72
Winogrande (5-shot) 86.58
GSM8k (5-shot) 65.73
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