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:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: djuna-test-lab/TEST-Ocerus-7B
        layer_range: [0, 16]
      - model: aws-prototyping/MegaBeam-Mistral-7B-512k
        layer_range: [0, 16]
    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: [0.6,0.35,0.5]
  - sources:
      - model: djuna-test-lab/TEST-Ocerus-7B
        layer_range: [16, 32]
      - model: aws-prototyping/MegaBeam-Mistral-7B-512k
        layer_range: [16, 32]
    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
merge_method: slerp
base_model: aws-prototyping/MegaBeam-Mistral-7B-512k
dtype: float32
out_dtype: bfloat16
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