---
base_model:
- formulae/mita-v1.1-7b-2-24-2025
- formulae/mita-v1.2-7b-2-24-2025
- Qwen/Qwen2.5-Math-7B-Instruct
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 [Linear DARE](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [formulae/mita-v1.1-7b-2-24-2025](https://huggingface.co/formulae/mita-v1.1-7b-2-24-2025)
* [formulae/mita-v1.2-7b-2-24-2025](https://huggingface.co/formulae/mita-v1.2-7b-2-24-2025)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: formulae/mita-v1.1-7b-2-24-2025
    parameters:
      density: 0.6
      weight: 0.6
  - model: formulae/mita-v1.2-7b-2-24-2025
    parameters:
      density: 0.4
      weight: 0.4

merge_method: dare_linear
base_model: Qwen/Qwen2.5-Math-7B-Instruct
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
allow_crimes: true

```