ReWiz-Worldbuilder-7B

<img src="https://huggingface.co/theprint/ReWiz-Llama-3.2-3B/resolve/main/ReWiz_banner.png">

Half the data was geared towards better reasoning (EvolKit-20k and reasoning-base-20k), the other half will help to de-censor the model (WizardLM data set).

Merge

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:

• theprint/WorldBuilder-7B
• theprint/ReWiz-7B

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: theprint/ReWiz-7B
        layer_range: [0, 32]
      - model: theprint/WorldBuilder-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: theprint/ReWiz-7B
parameters:
  t:
    - filter: self_attn
      value: [0.1, 0.5, 0.3, 0.7, 0.9]
    - filter: mlp
      value: [0.9, 0.5, 0.7, 0.3, 0.1]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here