DoubleBagel-57B-v1.0

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• ./jondurbin_bagel-34b-v0.2

Configuration

The following YAML configuration was used to produce this model:

dtype: float32
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 20]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [10, 30]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [20, 40]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [30, 50]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [40, 60]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
name: 2xbagel_fp32
---
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 100]
    model: 2xbagel_fp32
name: bagel_new