This is a merge of pre-trained language models created using
mergekit.
This model was merged using the
TIES merge method using
google/gemma-3-1b-it as a base.
1base_model: google/gemma-3-1b-it
2dtype: bfloat16
3merge_method: ties
4modules:
5 default:
6 slices:
7 - sources:
8 - layer_range: [0, 26]
9 model: aarnav11/gemma_1b_cares18k
10 parameters:
11 density: 0.5
12 weight: 1.0
13 - layer_range: [0, 26]
14 model: matheusfarocha/gemini-3-1b-it-wildjailbreak
15 parameters:
16 density: 0.5
17 weight: 1.0
18 - layer_range: [0, 26]
19 model: google/gemma-3-1b-it
20parameters:
21 normalize: 1.0
