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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 |