dare_ties
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using google/gemma-3-1b-it as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: google/gemma-3-1b-it
dtype: bfloat16
merge_method: dare_ties
modules:
default:
slices:
- sources:
- layer_range: [0, 26]
model: aarnav11/gemma_1b_cares18k
parameters:
density: 0.5
weight: 1.0
- layer_range: [0, 26]
model: matheusfarocha/gemini-3-1b-it-wildjailbreak
parameters:
density: 0.5
weight: 1.0
- layer_range: [0, 26]
model: google/gemma-3-1b-it
parameters:
int8_mask: 1.0
normalize: 1.0