merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Task Arithmetic merge method using prithivMLmods/QwQ-LCoT2-7B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: happzy2633/qwen2.5-7b-ins-v3
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: prithivMLmods/QwQ-LCoT2-7B-Instruct
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: happzy2633/qwen2.5-7b-ins-v3
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: task_arithmetic
base_model: prithivMLmods/QwQ-LCoT2-7B-Instruct
parameters:
normalize: true
int8_mask: true
dtype: float16
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