models:
  - model: kyujinpy/Sakura-SOLAR-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2
    parameters:
      density: 0.5
      weight: [0.33, 0.4, 0.33]
  - model: kyujinpy/Sakura-SOLRCA-Instruct-DPO
    parameters:
      density: [0.33, 0.45, 0.66]
      weight: 0.66
merge_method: dare_ties
base_model: kyujinpy/Sakura-SOLAR-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source : union

#slices:
#  - sources:
#      - model: upstage/SOLAR-10.7B-Instruct-v1.0
#        layer_range: [0, 48]
#      - model: beomi/OPEN-SOLAR-KO-10.7B
#        layer_range: [0, 48]
## or, the equivalent models: syntax:
## models:
##   - model: psmathur/orca_mini_v3_13b
##   - model: garage-bAInd/Platypus2-13B
#merge_method: slerp
#base_model: upstage/SOLAR-10.7B-Instruct-v1.0
#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 # fallback for rest of tensors
#dtype: float16