merge

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

Merge Details

Benchmarks

Tasks Version Filter n-shot Metric Value Stderr
tinyBenchmarks N/A
- tinyArc 0 none 25 acc_norm ↑ 0.5537 ± N/A
- tinyGSM8k 0 flexible-extract 5 exact_match ↑ 0.7686 ± N/A
strict-match 5 exact_match ↑ 0.7421 ± N/A
- tinyHellaswag 0 none 10 acc_norm ↑ 0.6475 ± N/A
- tinyMMLU 0 none 0 acc_norm ↑ 0.5841 ± N/A
- tinyTruthfulQA 0 none 0 acc ↑ 0.5356 ± N/A
- tinyWinogrande 0 none 5 acc_norm ↑ 0.6316 ± N/A

Merge Method

This model was merged using the Linear 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: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 0.5
  - model: Qwen/Qwen2.5-Math-7B-Instruct
    parameters:
      weight: 0.5
merge_method: linear
dtype: bfloat16
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