README.md

---
base_model:
- bunnycore/Qwen-2.5-7b-TitanFusion-v3
- bunnycore/Qwen-2.5-7b-rp-lora
- katanemolabs/Arch-Function-7B
- c10x/mergekit-ties-uqhfast
- Qwen/Qwen2.5-7B
- HumanLLMs/Humanish-Qwen2.5-7B-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 [TIES](https://arxiv.org/abs/2306.01708) 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:
* [bunnycore/Qwen-2.5-7b-TitanFusion-v3](https://huggingface.co/bunnycore/Qwen-2.5-7b-TitanFusion-v3) + [bunnycore/Qwen-2.5-7b-rp-lora](https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora)
* [katanemolabs/Arch-Function-7B](https://huggingface.co/katanemolabs/Arch-Function-7B)
* [c10x/mergekit-ties-uqhfast](https://huggingface.co/c10x/mergekit-ties-uqhfast)
* [HumanLLMs/Humanish-Qwen2.5-7B-Instruct](https://huggingface.co/HumanLLMs/Humanish-Qwen2.5-7B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: HumanLLMs/Humanish-Qwen2.5-7B-Instruct
    parameters:
      density: 0.8
      weight: 0.8
  - model: Qwen/Qwen2.5-7B
    parameters:
      density: 0.8
      weight: 0.8
  - model: katanemolabs/Arch-Function-7B
    parameters:
      density: 0.8
      weight: 0.8
  - model: bunnycore/Qwen-2.5-7b-TitanFusion-v3+bunnycore/Qwen-2.5-7b-rp-lora
    parameters:
      density: 0.8
      weight: 0.8
  - model: c10x/mergekit-ties-uqhfast
    parameters:
      density: 0.8
      weight: 0.8

merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```