slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: shahzebnaveed/NeuralHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: berkeley-nest/Starling-LM-7B-alpha
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

RichardErkhov/shahzebnaveed_-_StarlingHermes-2.5-Mistral-7B-slerp-awq

Original model description:

merge

Merge Details

Merge Method

Models Merged

Configuration

RichardErkhov/
shahzebnaveed_-_StarlingHermes-2.5-Mistral-7B-slerp-awq