# Norm-balanced: weights set inversely proportional to avg task vector L2 norm
# A ≈ 16, F ≈ 43, S ≈ 16 → weights ≈ 1/16, 1/43, 1/16 → normalized ≈ 2.7, 1.0, 2.7
models:
  - model: sraj/CMB_MARK_CX
    parameters:
      weight: 2.7
  - model: sraj/CMB_FWEdu_V2_FastTxt_CX
    parameters:
      weight: 1.0
  - model: sraj/CMB_WX_SYN_CX
    parameters:
      weight: 2.7
merge_method: linear
parameters:
  normalize: true
dtype: bfloat16

sraj/Merge_Linear_NormBalanced_CX_only

merge_linear_normbalanced

Merge Details

Merge Method

Models Merged

Configuration

sraj/
Merge_Linear_NormBalanced_CX_only