merged-math-doctor-slerp-model

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:

• daiandy/math-model
• daiandy/doctor-model

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: daiandy/math-model
        layer_range: [0, 31]
      - model: daiandy/doctor-model
        layer_range: [0, 31]
# or, the equivalent models: syntax:
# models:
#   - model: psmathur/orca_mini_v3_13b
#   - model: garage-bAInd/Platypus2-13B
merge_method: slerp
base_model: daiandy/math-model
parameters:
  t:
    - filter: self_attn
      value: [0.5, 0.5, 0.5, 0.5, 0.5]
    - filter: mlp
      value: [0.5, 0.5, 0.5, 0.5, 0.5]
    - value: 0.5 # fallback for rest of tensors
dtype: float16