Qwen 3 4b merges
Collection
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This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Qwen/Qwen3-4B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen3-4B
dtype: float16
merge_method: ties
modules:
default:
slices:
- sources:
- layer_range: [0, 36]
model: ertghiu256/Qwen-3-merged-reasoning
parameters:
weight: 0.7
- layer_range: [0, 36]
model: ertghiu256/qwen3-4b-merged-ties
parameters:
weight: 0.6
- layer_range: [0, 36]
model: Qwen/Qwen3-4B
parameters:
int8_mask: 1.0
normalize: 1.0