README.md

---
base_model:
- Qwen/Qwen2.5-7B
- pittawat/qwen2.5-7b-med-acc-without-prior
- pittawat/qwen2.5-7b-med-acc-without-prior-alphamed
- pittawat/qwen2.5-7b-med-acc-mcq-rank-without-prior
library_name: transformers
tags:
- mergekit
- merge

---
# dare-linear-3-models

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/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.

### Models Merged

The following models were included in the merge:
* [pittawat/qwen2.5-7b-med-acc-without-prior](https://huggingface.co/pittawat/qwen2.5-7b-med-acc-without-prior)
* [pittawat/qwen2.5-7b-med-acc-without-prior-alphamed](https://huggingface.co/pittawat/qwen2.5-7b-med-acc-without-prior-alphamed)
* [pittawat/qwen2.5-7b-med-acc-mcq-rank-without-prior](https://huggingface.co/pittawat/qwen2.5-7b-med-acc-mcq-rank-without-prior)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-7B
  - model: pittawat/qwen2.5-7b-med-acc-without-prior
    parameters:
      density: 0.53
      weight: 0.5
  - model: pittawat/qwen2.5-7b-med-acc-without-prior-alphamed
    parameters:
      density: 0.53
      weight: 0.3
  - model: pittawat/qwen2.5-7b-med-acc-mcq-rank-without-prior
    parameters:
      density: 0.53
      weight: 0.2
merge_method: dare_linear
base_model: Qwen/Qwen2.5-7B
parameters:
  normalize: true
dtype: bfloat16

tokenizer:
  source: Qwen/Qwen2.5-7B-Instruct
```