README.md

---
base_model:
- nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
- Sao10K/14B-Qwen2.5-Freya-x1
- Orion-zhen/Meissa-Qwen2.5-14B-Instruct
- allura-org/TQ2.5-14B-Aletheia-v1
- Hasnonname/Qwen2.5-14B-Kebab-v0
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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 [Sao10K/14B-Qwen2.5-Freya-x1](https://huggingface.co/Sao10K/14B-Qwen2.5-Freya-x1) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-14B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B)
* [Orion-zhen/Meissa-Qwen2.5-14B-Instruct](https://huggingface.co/Orion-zhen/Meissa-Qwen2.5-14B-Instruct)
* [allura-org/TQ2.5-14B-Aletheia-v1](https://huggingface.co/allura-org/TQ2.5-14B-Aletheia-v1)
* [Hasnonname/Qwen2.5-14B-Kebab-v0](https://huggingface.co/Hasnonname/Qwen2.5-14B-Kebab-v0)
* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Sao10K/14B-Qwen2.5-Freya-x1
  - model: allura-org/TQ2.5-14B-Aletheia-v1
    parameters:
      density: 1.00
      weight: 1.00
  - model: Hasnonname/Qwen2.5-14B-Kebab-v0
    parameters:
      density: 1.00
      weight: 1.00
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
    parameters:
      density: 0.70
      weight: 0.50
  - model: Orion-zhen/Meissa-Qwen2.5-14B-Instruct
    parameters:
      density: 0.70
      weight: 0.50
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
    parameters:
      density: 0.50
      weight: 0.30
merge_method: ties
base_model: Sao10K/14B-Qwen2.5-Freya-x1
parameters:
  normalize: true
dtype: float32
```