shadow-clown-7B-slerp

shadow-clown-7B-slerp is a DARE merge of the following models using mergekit:

See the paper Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch for more on the method.

🧩 Configuration

slices:
 - sources:
 - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
 layer_range: [0, 32]
 - model: MSL7/INEX12-7b
 layer_range: [0, 32]
merge_method: slerp
base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
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
dtype: bfloat16

slices:
 - sources:
 - model: liminerity/M7-7b
 layer_range: [0, 32]
 - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
 layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
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
dtype: bfloat16


slices:
 - sources:
 - model: ammarali32/multi_verse_model
 layer_range: [0, 32]
 - model: liminerity/merge
 layer_range: [0, 32]
merge_method: slerp
base_model: ammarali32/multi_verse_model
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
dtype: bfloat16


slices:
 - sources:
 - model: Gille/StrangeMerges_32-7B-slerp
 layer_range: [0, 32]
 - model: yam-peleg/Experiment26-7B
 layer_range: [0, 32]
merge_method: slerp
base_model: Gille/StrangeMerges_32-7B-slerp
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
dtype: bfloat16