julianmorenomotta/LeoHermes-7B-slerp_0

output-models

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:

• mlabonne/NeuralHermes-2.5-Mistral-7B
• LeoLM/leo-mistral-hessianai-7b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: LeoLM/leo-mistral-hessianai-7b
        layer_range: [0, 32]
      - model: mlabonne/NeuralHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: LeoLM/leo-mistral-hessianai-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