NeuralHermes-7B-slerp

NeuralHermes-7B-slerp is a merge of the following models using mergekit:

• santoshsawant/NeuralHermes-2.5-Mistral-7B
• EmbeddedLLM/Mistral-7B-Merge-14-v0.1

Configuration

slices:
  - sources:
      - model: santoshsawant/NeuralHermes-2.5-Mistral-7B
        layer_range: [0, 32]
      - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
        layer_range: [0, 32]
merge_method: slerp
base_model: santoshsawant/NeuralHermes-2.5-Mistral-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