README.md

---
base_model:
- scb10x/typhoon2-qwen2.5-7b-instruct
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-7B
library_name: transformers
tags:
- mergekit
- merge
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---
# 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/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.

### Models Merged

The following models were included in the merge:
* [scb10x/typhoon2-qwen2.5-7b-instruct](https://huggingface.co/scb10x/typhoon2-qwen2.5-7b-instruct)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-7B
  - model: scb10x/typhoon2-qwen2.5-7b-instruct
    parameters:
      density: 0.80
      weight: [0.2, 0.2, 0.5, 0.8]
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
    parameters:
      density: 0.50
      weight: [0.1, 0.5, 0.5, 0.2]
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      density: 0.2
      weight: [0.7, 0.3, 0.0, 0.0]
merge_method: dare_linear
base_model: Qwen/Qwen2.5-7B
parameters:
  normalize: true
dtype: bfloat16
tokenizer:
  source: scb10x/typhoon2-qwen2.5-7b-instruct
```