---
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
```