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---
base_model:
- Theros/Qwen2.5-ColdBrew-R1-test3
- bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke-v2
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models were included in the merge:
* [Theros/Qwen2.5-ColdBrew-R1-test3](https://huggingface.co/Theros/Qwen2.5-ColdBrew-R1-test3)
* [bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke-v2](https://huggingface.co/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke-v2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Theros/Qwen2.5-ColdBrew-R1-test3
layer_range: [0, 28]
- model: bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke-v2
layer_range: [0, 28]
merge_method: slerp
base_model: Theros/Qwen2.5-ColdBrew-R1-test3
parameters:
t:
- filter: self_attn
value: [0.3, 0.5, 0.6, 0.6, 0.7] # Avoids extreme low/high fluctuations
- filter: mlp
value: [0.7, 0.6, 0.5, 0.4, 0.3] # Gradual shift, avoiding an early MLP spike
- value: 0.5
dtype: bfloat16
tokenizer_source: union
```
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